Mathematical Technician Job Description Sample

Requisition ID: QUA007844

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Merck Manufacturing Division, MMD, is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that's committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe.

The employee is responsible for the analysis and evaluation of data to meet the needs of the our Manufacturing Division. The employee will, through consultation with employees and teams, provide data science expertise including data wrangling, data evaluation (visualization and numerical analysis) and interpretation of results.

The employee will create analytic workflows, dashboards and apps that allow our manufacturing division employees to utilize the data we gather in manufacturing activities. In the future this data will increase in size and complexity. The employee will provide innovations in data science and bring in new technology as appropriate. They will be involved in external regulatory and industry collaborations to learn from and influence the external environment.

Qualifications

Education Minimum Requirement:

• A minimum of 3 years of experience in a science-based analytics role. MS or PhD in Data Science, Statistics, Mathematics, Engineering, Chemistry, or Biology (with emphasis on data analysis).

• Deep technical skills including statistics, programming (R, Python), data management (SQL), multivariate analysis, machine learning, data science.

• The employee will need the following non-technical skills: business acumen, a curiosity about science and engineering needed to supply Merck's products.

• Excellent oral and written communication skills

• Additional experience in Engineering, Biology, Chemistry.

• Six Sigma experience or certification is considered a plus.

MMDHJ

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we're inventing for life.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to staffingaadar@merck.com.

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails.

All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.

Visa sponsorship is not available for this position.

For more information about personal rights under Equal Employment Opportunity, visit:

EEOC Poster

EEOC GINA Supplement

Job: Quantitative Sciences Generic

Other Locations: Kenilworth, NJ, US

Employee Status: Regular

Travel: Yes, 10 % of the Time

Number of Openings: 1

Shift (if applicable): 1st

Hazardous Materials: no

Company Trade Name: Merck

Nearest Major Market: Philadelphia

We are now looking for a Sr. CUDA Mathematical Libraries Engineer (Dense Linear Algebra).

NVIDIA is hiring software engineers for its GPU-accelerated high-performance computing (HPC) mathematical libraries team. Did you know these GPU accelerated mathematical libraries developed by NVIDIA are being used in a wide range of applications in scientific computing, engineering, and deep learning? Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications include: healthcare, VR, deep learning, autonomous vehicles and countless others. If the idea of contributing to such state of the art research and development excites you, come join our dynamic team and help us build GPU accelerated software libraries which will be used by the entire world.

In this role you will be interacting and collaborating with internal stakeholders, industry professionals, the scientific community, and members of the open source software community to define and implement highly optimized new numerical and analytics algorithms. Your responsibilities include the design of public APIs, implementation of new algorithms, performance tuning and analysis, and other general software engineering work. You will need great interpersonal and communication skills and a strong focus on delivering high-quality and performance software.

What you'll be doing:

• Prototype, develop, and optimize dense linear algebra software for deep learning, data analytics, scientific research, and engineering applications that use high-performance computing.

• Analyze the performance of GPU or CPU implementations and find opportunities for improvements and implement them.

• Collaborate with internal and external partners to understand software use cases and requirements.

What we need to see:

• PhD or Masters degree in Computer Science, Applied Math, or related science or engineering field of study with 3+ years of experience.

• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

• Experience developing parallel numerical software libraries on HPC platforms using multi-threading and/or MPI.

• Deep understanding of dense linear algebra and computations in science, engineering, or deep learning.

• Ability to work independently, define project goals and scope, and manage your own development effort.

• Self-motivated and takes pride of quality of own work.

• Good teamwork, communication, and documentation habits.

Ways to stand out from the crowd:

• Strong fundamentals in algorithms.

• Prior experience with low level programming in assembly and performance tuning.

• GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

• Good knowledge of CPU and/or GPU hardware architecture.

• A scripting language, preferably Python.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requisition ID: QUA007843

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Merck Manufacturing Division, MMD, is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that's committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe.

The employee is responsible for the analysis and evaluation of data to meet the needs of the our Manufacturing Division. The employee will, through consultation with employees and teams, provide data science expertise including data wrangling, data evaluation (visualization and numerical analysis) and interpretation of results.

The employee will create analytic workflows, dashboards and apps that allow our Manufacturing Division employees to utilize the data we gather in manufacturing activities. In the future this data will increase in size and complexity. The employee will provide innovations in data science and bring in new technology as appropriate. They will be involved in external regulatory and industry collaborations to learn from and influence the external environment.

Qualifications

Education Minimum Requirement:

• A minimum of 5 years of experience in a science-based analytics role. MS or PhD in Data Science, Statistics, Mathematics, Engineering or Biology (with emphasis on data analysis).

• Deep technical skills including statistics, programming (R, Python), data management (SQL), multivariate analysis, machine learning, data science.

• The employee will need the following non-technical skills: business acumen, a curiosity about science and engineering needed to supply Merck's products.

• Excellent oral and written communication skills.

• Additional experience in Engineering, Biology, Chemistry.

• Six Sigma is considered a plus.

MMDHJ

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we're inventing for life.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to staffingaadar@merck.com.

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails.

All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.

Visa sponsorship is not available for this position.

For more information about personal rights under Equal Employment Opportunity, visit:

EEOC Poster

EEOC GINA Supplement

Job: Quantitative Sciences Generic

Other Locations: Kenilworth, NJ, US

Employee Status: Regular

Travel: Yes, 10 % of the Time

Number of Openings: 1

Shift (if applicable): 1st

Hazardous Materials: no

Company Trade Name: Merck

Nearest Major Market: Philadelphia

• Videos

• Duties

HelpDuties Summary

This position is located in the Substance Abuse and Mental Health Services Administration (SAMHSA), Center for Behavioral Health Statistics and Quality (CBHSQ), Population Survey Branch (PSB). The duty location for this position is Rockville, MD.

For more information about SAMHSA, click the "Learn more about the Agency" Box.

Applicants please note: Additional selections may be made across the Department of Health and Human Services through this vacancy announcement.

Learn more about this agency

Responsibilities

As a senior Mathematical Statistician, you will serve as an expert on survey design and statistical methodology, providing oversight and direction; and responsible for the planning, development, and technical direction of statistical research involving substance abuse and mental health programs. Specifically, you will:

• Utilizing extensive knowledge of statistical theory and methodology to advise on the application techniques to collect substance use and mental health data.

• Solving statistical problems by applying methodologies and using techniques such as hierarchical linear modeling, logistic regression, latent variable analysis, factor analysis, survival analysis, or other multivariate analytical techniques.

• Coordinating and providing interpretation and guidance on policy and special issues pertaining to data collection and sampling methodology as applied to advances in survey methods and research.

• Participating in the primary and secondary analysis, including production of reports and surveillance of substance use incidence and prevalence, in collaboration with other stakeholders.

• Serving as an expert responsible for the planning and implementation of complex national sample surveys of households and other units.

• Providing expertise and coordinating efforts of other survey statisticians, planning efficient use of available resources in implementing new sample designs, data collections, methods, questionnaires, editing and imputation procedures, weight adjustments, disclosure limitation methods, small area estimation, and analytic techniques.

• Researching, analyzing, and preparing written recommendations for changes or additions to current agency policies.

• Initiating statistical analyses on substance abuse and mental health issues, including substantive issues as well as survey methodology issues, from initial conception through final preparation of written analyses.

Travel Required

Occasional travel - You may be expected to travel up to 5 percent for this position.

Supervisory status

No

Promotion Potential
15

• Job family (Series)
  1529 Mathematical Statistics

Similar jobs

• Statisticians

• Statisticians, Survey

• Survey Statisticians

• Requirements

HelpRequirements Conditions of Employment

• U. S. Citizenship is required.

• All qualification requirements and time-in-grade must be met by the closing date of this announcement. Federal applicants must submit an SF-50 to show status and time-in-grade.

• Males ages 18 through 25 must be registered with the Selective Service.

• Background investigation required.

• PHS Commissioned Corps applicants must submit current personnel orders.

• This position has an education requirement - transcripts are required.

• Financial disclosure statement is required. If selected, you will be required to file a public or confidential financial disclosure.

• A one year probationary period may be required.

• Position is not in the Bargaining Unit.

• Drug Screening is not required.

• Recruitment incentives are not authorized.

• Student loan repayment incentive is not authorized.

• Travel, transportation and relocation expenses will not be paid.

Qualifications

THESE QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE: 09/28/2018

NOTE: All applicants for this position must possess specific education as part of the qualification requirements.

EDUCATION REQUIREMENT:

A. Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. Courses acceptable toward meeting the mathematics course requirement must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. NOTE: A copy of your Official or Unofficial transcripts are required by the closing date of the announcement.

OR

B. Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Applicable experience should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. NOTE: A copy of your Official or Unofficial transcripts are required by the closing date of the announcement.

AND

EXPERIENCE REQUIREMENT:

To qualify for this position at the GS-15 level, in addition to the educational requirements above, your resume must clearly demonstrate that you have one full year of specialized experience comparable in difficulty and responsibility to at least the GS-14 level in the federal service. Examples of qualifying experience include the following types of tasks performed on a regular and recurring basis:

• Leading the design and implementation of sample surveys, including experience in areas such as frame development, sample design, sample selection, imputation for missing data, disclosure, weighting, variance estimation and small area estimation methodology;

• Analyzing complex survey data and to critically and independently review contract deliverables related to topics such as survey design, sample designs, estimation methods, analysis plans, statistical models, and other statistical reports;

• Utilizing advanced statistical theory in the design of sample surveys; and

• Conducting various phases of survey design to include designation of data sources, sample selection, prescription of estimators, modeling, development of summaries or modes, and development of analysis tools.

Experience refers to paid and unpaid experience, including volunteer work done through National Service Programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; community; student; social). If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.

Current status candidates must meet Time-in-Grade (TIG) by the closing date of this announcement. To allow us to verify that you meet TIG requirements, provide any of the following SF-50s:

• Competitive or Career-ladder promotion to your highest grade (this does not include 120 day temporary promotions)
• With-In-Grade (WGI) increase at your highest grade (this does not include quality step increases (QSIs)
• Competitive career/career-conditional appointment to your highest grade.
• SF-50 at your highest grade held, that is at least one year older than the announcement closing date of 09/28/2018.

Current year pay adjustments are not acceptable for verifying TIG (ex. 2018 general increases cannot be used to verify TIG).

Not sure which SF-50 to submit? Check out our video... Go here to watch the video on the SF50s to submit in your application package.

Education

This position has an education requirement. You must submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades) to document that you have met the education requirement. Unofficial transcripts will be accepted in the application package. Official transcripts will be required prior to your starting work.

Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: http://www.ed.gov.

Duties

Summary

This position is located in the Substance Abuse and Mental Health Services Administration (SAMHSA), Center for Behavioral Health Statistics and Quality (CBHSQ), Population Survey Branch (PSB). The duty location for this position is Rockville, MD.

For more information about SAMHSA, click the "Learn more about the Agency" Box.

Applicants please note: Additional selections may be made across the Department of Health and Human Services through this vacancy announcement.
Responsibilities

As a senior Mathematical Statistician, you will serve as an expert on survey design and statistical methodology, providing oversight and direction; and responsible for the planning, development, and technical direction of statistical research involving substance abuse and mental health programs. Specifically, you will:
Utilizing extensive knowledge of statistical theory and methodology to advise on the application techniques to collect substance use and mental health data.
Solving statistical problems by applying methodologies and using techniques such as hierarchical linear modeling, logistic regression, latent variable analysis, factor analysis, survival analysis, or other multivariate analytical techniques.
Coordinating and providing interpretation and guidance on policy and special issues pertaining to data collection and sampling methodology as applied to advances in survey methods and research.
Participating in the primary and secondary analysis, including production of reports and surveillance of substance use incidence and prevalence, in collaboration with other stakeholders.
Serving as an expert responsible for the planning and implementation of complex national sample surveys of households and other units.
Providing expertise and coordinating efforts of other survey statisticians, planning efficient use of available resources in implementing new sample designs, data collections, methods, questionnaires, editing and imputation procedures, weight adjustments, disclosure limitation methods, small area estimation, and analytic techniques.
Researching, analyzing, and preparing written recommendations for changes or additions to current agency policies.
Initiating statistical analyses on substance abuse and mental health issues, including substantive issues as well as survey methodology issues, from initial conception through final preparation of written analyses.

Travel Required

Occasional travel

• You may be expected to travel up to 5 percent for this position.

Supervisory status

No

Promotion Potential

15

Job family (Series)

Similar jobs

Requirements

Conditions of Employment

U. S. Citizenship is required.
Males ages 18 through 25 must be registered with the Selective Service.
Background investigation required.
PHS Commissioned Corps applicants must submit current personnel orders.
This position has an education requirement - transcripts are required.
Financial disclosure statement is required. If selected, you will be required to file a public or confidential financial disclosure.
A one year probationary period may be required.
Position is not in the Bargaining Unit.
Drug Screening is not required.
Recruitment incentives are not authorized.
Student loan repayment incentive is not authorized.
Travel, transportation and relocation expenses will not be paid.

Qualifications

THESE QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE: 09/28/2018

NOTE: All applicants for this position must possess specific education as part of the qualification requirements.

EDUCATION REQUIREMENT:

A. Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

Courses acceptable toward meeting the mathematics course requirement must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. NOTE: A copy of your Official or Unofficial transcripts are required by the closing date of the announcement.

OR

B. Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

Applicable experience should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. NOTE: A copy of your Official or Unofficial transcripts are required by the closing date of the announcement.

AND

EXPERIENCE REQUIREMENT:

To qualify for this position at the GS-15 level, in addition to the educational requirements above, your resume must clearly demonstrate that you have one full year of specialized experience comparable in difficulty and responsibility to at least the GS-14 level in the federal service. Examples of qualifying experience include the following types of tasks performed on a regular and recurring basis:

Leading the design and implementation of sample surveys, including experience in areas such as frame development, sample design, sample selection, imputation for missing data, disclosure, weighting, variance estimation and small area estimation methodology;
Analyzing complex survey data and to critically and independently review contract deliverables related to topics such as survey design, sample designs, estimation methods, analysis plans, statistical models, and other statistical reports;
Utilizing advanced statistical theory in the design of sample surveys; and
Conducting various phases of survey design to include designation of data sources, sample selection, prescription of estimators, modeling, development of summaries or modes, and development of analysis tools. Experience refers to paid and unpaid experience, including volunteer work done through National Service Programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; community; student; social). If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.

Education

This position has an education requirement. You must submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades) to document that you have met the education requirement.

Unofficial transcripts will be accepted in the application package. Official transcripts will be required prior to your starting work.

Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: .

Additional information

If you are unable to apply online or need to fax a document you do not have in electronic form, view the following link for information regarding an .

HHS is an equal opportunity employer. Selection for this position will be based solely on merit without regard to race, color, religion, age, gender, national origin, political affiliation, disability, sexual orientation, marital or family status or other differences.

Click here for information on "".

How You Will Be Evaluated

You will be evaluated for this job based on how well you meet the qualifications above.
Once the application process is complete, a review of the resume and supporting documentation will be made and compared against your responses to the assessment questionnaire to determine if you are qualified for this job. If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and/or experience, you may lose consideration for this position. Please follow all instructions carefully. Errors or omissions may affect your eligibility. Category rating procedures will be used to rate and rank candidates. The category assignment is a measure of the degree in which your background matches the competencies required for this position. Qualified candidates will be ranked into one of three categories: Best Qualified, Well Qualified or Qualified.

The Category Rating Process does not add veterans' preference points but protects the rights of veterans by placing them ahead of non-preference eligibles within each category. Preference eligibles who meet the minimum qualification requirements and who have a compensable service-connected disability of at least 10 percent must be listed in the highest quality category (except in the case of scientific or professional positions at the GS-9 level or higher).

Interagency Career Transition Assistance Program (ICTAP)/Career Transition Assistance Program (CTAP): Must be found to be well-qualified to exercise selection priority for this vacancy, displaced Federal employees must be rated at 85.0 or above on the rating criteria for this position. Click here for more information on .

Your qualifications will be evaluated on the following competencies (knowledge, skills, abilities and other characteristics):
MATHEMATICAL REASONING - Uses knowledge of statistical theory and survey methodology to creatively advise on the application of such technique.
STATISTICAL ANALYSIS - Uses descriptive or inferential statistical methods to collect, explore and present large amounts of data to discover underlying patterns and trends.
RESEARCH AND EVALUATION - Knowledge of the principles, methods, and processes used to conduct a systematic and objective inquiry; including study design, collection, analysis, and interpretation of data; and the reporting of results.
TECHNICAL WRITING - Prepares written documentation to transfer technical information about concepts, situations, products, services, or results to audiences with varying levels of technical knowledge.
To preview the occupational assessment questionnaire, please click on the following link:

Background checks and security clearance

Security clearance

Drug test required

No

Required Documents

This agency provides reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact either HRSA's Office of Human Resources at or by email: or HRSA's Reasonable Accommodation programs at or by email: . You must contact the Reasonable Accommodations Program prior to the closing date of this announcement to receive assistance.

The decision on granting reasonable accommodation will be made on a case-by-case basis. Hours of operation: Monday through Friday 7:30AM to 4:00PM EST (except Federal holidays).

Submission of a resume alone is not a complete application. To apply for this position, you must provide a complete online Application Package which includes:

A current Resume

• For resume writing guidance, please visit or view their . If you use your own resume, curriculum vitae, or any other written form you choose then you must describe your job-related qualifications that include beginning and ending dates (month/year) for paid and non-paid work experience, including the average number of hours worked per week for each job title listed. You must also ensure that the duties performed are clearly matched to each period of employment. If we cannot determine that you have performed qualifying duties for at least one year, then you may be rated ineligible.
  A complete Assessment Questionnaire
  Other supporting documents to be submitted with application:
  If you are a veteran with preference eligibility and you are claiming 5-points veterans' preference, you must submit a copy of your DD-214 (Member 4 Copy), or other proof of eligibility. If you are claiming 10-point veterans' preference, you must also submit an SF-15, "Application for 10-Point Veterans' Preference" plus the proof required by that form. Click here for more information on .
  Personnel Orders: PHS Commissioned Corps Officers must submit a copy of latest personnel orders in lieu of SF-50.
  If you are currently serving in a pay banded position, please include a copy of your pay band chart with your application.
  College Transcripts (if the position has a positive education requirement, or you are qualifying on the basis of education).
  For Résumé and Application Tips visit the .

The complete Application Package must be submitted by 11:59 PM (EST) on 09/28/2018.

If you are relying on your education to meet qualification requirements:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from .
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

This job originated on . For the full announcement and to apply, visit

Job Role Summary

ExxonMobil Research and Engineering Company's Corporate Strategic Research (CSR) laboratory has an immediate opening for a full-time staff position in the area of mathematical optimization in our Data Analytics and Optimization Section. The successful candidate will join a dynamic group of scientists performing breakthrough research for the Corporation, developing new scientific approaches and innovative solutions using state-of-the-art clusters and GPU machines.

Job Role Responsibilities

We are seeking a talented and creative individual to conduct fundamental research in mathematical optimization and decision science. As member of our team, the successful candidate will undertake research towards crafting novel solutions for large scale optimization challenges arising from a multitude of real problems involving physics, chemistry, geology, manufacturing, supply-chain, and market economics.

Job Requirements

The candidate should have a Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Chemical Engineering or a related scientific discipline.

Expected Level of Proficiency

The candidate should have a strong theoretical and applied background in mathematical optimization with a proven track record in computation and algorithm development in Nonlinear Programming, Mixed Integer Programming, or Mixed Integer Nonlinear Programming. Knowledge and experience in solving challenging engineering/science problems and parallel computing is a plus.

The successful candidate will interact with research and business partners in various disciplines. Strong communications skills and ability to articulate sound research ideas to partners from different domains are critical. The candidate should be excited by opportunities to learn new skills and willing to grow into new technical areas.

ExxonMobil offers an excellent work environment and a competitive compensation and benefits package. Please upload a resume and cover letter with your application.

Alternate Location: United States : Clinton, New Jersey

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Nearest Major Market: New Jersey

Job Segment: Chemical Research, Engineer, Geology, Computer Science, Engineering, Research, Technology

Mathematics & Computer Science: Director of Mathematical Studies - 000262

The Department of Mathematics and Computer Science and the Integrated and Inclusive Science Program at the University of Richmond invites applications for the position of Director of Mathematical Studies, beginning July 2019. This position is a non-tenure-track continuing position that includes both academic year and summer duties.

The candidate should have a Ph.D. in mathematics or related area and experience in undergraduate teaching. We are particularly interested in candidates who demonstrate a commitment to and experience in evidence-based and inclusive pedagogy.

The Director is expected to teach a total of 6 courses during the academic year. Summer duties include mentoring in and co-directorship of the University of Richmond Integrated Science Experience (URISE). Regular academic year duties will include teaching the mathematics portion of either the Science, Math, and Research Training (SMART) integrated first-year learning community or our Integrated Quantitative Science (IQS) course as part of the 6-course load. Additionally, the Director will be expected to help pilot new inquiry-based activities for SMART and/or IQS, develop and teach other Mathematics courses, and maintain engagement in professional activities that advance teaching goals (e.g. pedagogical workshops, scholarship of teaching and learning). For URISE, the Director will work with the Director of Biological Instruction to recruit, coordinate, and mentor students in the program as well as being jointly responsible for ongoing assessment and improvement of the program. In addition to teaching-related duties, academic advising and service on department and/or university committees are expected.

Applicants should click "Apply Now" at the top of the page and upload a single pdf file containing: (1) a letter of application for the position, (2) a curriculum vitae, and (3) a teaching statement. The teaching statement should articulate the candidate's teaching philosophy and future professional development goals and should reflect on past teaching/mentoring experiences and training/experience in implementing inclusive pedagogies.

Additionally, the statement should include how the candidate will contribute to the stated goal of the School of Arts & Sciences: "to provide a learning environment in which all are free and able to express their full selves and to be a community of learners who are attentive to thriving, inclusion, and social justice." Applicants will be asked to provide the names of three references who will receive an email asking them to submit letters of recommendation electronically. Review of applications will begin November 1 and continue until the position is filled.

The School of Arts & Sciences, the liberal arts core of the University, is a thriving and inclusive community of 230 faculty, twenty-two departments and ten interdisciplinary programs. We offer distinctive and engaging learning opportunities to students and outstanding resources to support the scholarly, creative, and pedagogical activities of the faculty. For information about the foundations, goals, and initiatives of the School of Arts & Sciences, see the Concept 30 Strategic Plan at https://as.richmond.edu/concept30/index.html .

The University of Richmond is a private, highly selective, predominantly liberal arts institution. The University is committed to developing a diverse workforce and student body, and to modeling an inclusive campus community that values the expression of difference in ways that promote excellence in teaching, learning, personal development, and institutional success. Our academic community strongly encourages applications that are in keeping with this commitment.

For more information on the department and resources, see https://math.richmond.edu . For more information on our Integrated and Inclusive Science Program, see https://inclusivescience.richmond.edu .

• Videos

• Duties

HelpDuties Summary

This vacancy is for a Mathematical Statistician position in the Center for Adaptive Design (CAD) located at the U.S. Census Bureau Headquarters in Suitland, Maryland. The Census Bureau is accessible from the Metro Rail Green Line – Suitland Station.

Learn more about this agency

Responsibilities

• Plans, and develops specifications, survey design, methodology, and provides technical direction over an Adaptive Design architecture.

• Conducts, extensive adaptive designs survey researched for testing modeling and simulations methods, devises strategies and solutions for real-time costs and decisions in data collection operations.

• Presents information adaptive design systems in development to internal and external groups, clients and stakeholders.

• Develops and design models for collecting quantified data.

Travel Required

Occasional travel - To attend meetings and conferences

Supervisory status

Yes

Promotion Potential
15

• Job family (Series)
  1529 Mathematical Statistics

Similar jobs

• Statisticians

• Requirements

HelpRequirements Conditions of Employment

• U.S. citizen.

• Suitable for Federal employment.

• Registered for Selective Service if applicable. (www.sss.gov)

• You may be required to complete a financial disclosure (OGE-450).

Applicants must meet all qualification requirements by the closing date of this announcement.

This vacancy is advertised under 2 different announcements. Please read the 'Who May Apply' section carefully to determine your eligibility. If you are not eligible under this announcement, please see CAD-2018-0002, Mathematical Statistician, GS-1529-15, CENSUS-MP-SM.

A probationary period may be required.

This position is ELIGIBLE for telework; additional criteria will be required (e.g., supervisory approval).

This is a NON-BARGAINING unit position.

Relocation expenses will not be paid.

Qualifications

Minimum Education Requirement:

Basic Requirements:

• Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

• Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

AND

Specialized Experience: For the GS-15, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-14 in the Federal service. Experience for this position includes: Identifying survey data collection techniques. Planning, designing, and managing projects. Planning and developing specifications and survey design methodology, and providing technical direction over an Adaptive Design architecture Managing and participating in intra-agency workgroups. Developing and designing models for collecting qualified data.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

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• Duties

HelpDuties Summary

This vacancy is for a Mathematical Statistician position in the Center for Adaptive Design (CAD) located at the U.S. Census Bureau Headquarters in Suitland, Maryland. The Census Bureau is accessible from the Metro Rail Green Line

• Suitland Station.

A probationary period may be required.

This position is ELIGIBLE for telework; additional criteria will be required (e.g., supervisory approval).

This is a NON-BARGAINING unit position.

Relocation expenses will not be paid.

Learn more about this agency

Responsibilities

• Plans, and develops specifications, survey design, methodology, and provides technical direction over an Adaptive Design architecture.

• Conducts, extensive adaptive designs survey researched for testing modeling and simulations methods, devises strategies and solutions for real-time costs and decisions in data collection operations.

• Presents information adaptive design systems in development to internal and external groups, clients and stakeholders.

• Develops and design models for collecting quantified data.

Travel Required

Occasional travel

• To attend meetings and conferences

Supervisory status

Yes

Promotion Potential
15

• Job family (Series)
  1529 Mathematical Statistics

Similar jobs

• Statisticians

• Requirements

HelpRequirements Conditions of Employment

• U.S. citizen.

• Suitable for Federal employment.

• Registered for Selective Service, if applicable. (www.sss.gov)

• You may be required to complete a financial disclosure (OGE-450).

• Time-in-grade requirements must be met by the announcement closing date.

Applicants must meet all qualification requirements by the closing date of this announcement.

This vacancy is advertised under 2 different announcements. Please read the 'Who May Apply' section carefully to determine your eligibility. If you are not eligible under this announcement, please see CAD-2018-0003 Mathematical Statistician, GS-1529-15, CENSUS-DE-SM.

Qualifications

Minimum Education Requirement:

Basic Requirements:

• Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

• Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

AND

Specialized Experience: For the GS-15, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-14 in the Federal service. Experience for this position includes: Identifying survey data collection techniques. Planning, designing, and managing projects. Planning and developing specifications and survey design methodology, and providing technical direction over an Adaptive Design architecture. Managing and participating in intra-agency workgroups. Developing and designing models for collecting qualified data.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education