Postdoctoral Fellow/Research Associate/Data Scientist in Cancer Epidemiology Research

University of Maryland; Baltimore (MD); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Pension/ORP

Paid leave

Professional development

Tuition remission

Flexible schedules

Job summary

The University of Maryland, Baltimore is offering a full-time Postdoctoral Fellow/Research Associate/Data Scientist position in Cancer Epidemiology Research. The successful candidate will contribute to innovative studies on host-oncovirus infections, breast and cervical cancer, and prevention trials, with opportunities for genomics training.

You will lead study design, data analysis, manuscript preparation, and collaborate across departments and international partners to apply genomic methods

Qualifications

• Strong quantitative and analytical skills.
• Experience with epidemiologic analyses.
• Proficiency in statistical programming (R/Python/SAS/Stata).
• Ability to work independently and in teams.
• Excellent English communication.
• Interdisciplinary mindset and collaborative research.
• Outstanding time-management skills.

Responsibilities

• Design and implement studies in cancer epidemiology.
• Analyze complex genomic and phenotypic data.
• Develop risk prediction models for diseases and traits.
• Prepare manuscripts for publication in peer-reviewed journals.
• Coordinate with multidisciplinary teams and international partners.

Skills

Quantitative analysis

Statistical programming

R

Python

SAS

Stata

Epidemiology

Communication

Team collaboration

Tools

R

Python

SAS

Stata

Job description

Job Description - Postdoctoral Fellow/Research Associate/Data Scientist in Cancer Epidemiology Research (260000ZZ)

Job Description

Postdoctoral Fellow/Research Associate/Data Scientist in Cancer Epidemiology Research - ( 260000ZZ )

A full-time Postdoctoral Research Fellowship in Cancer Epidemiology is available starting as soon as possible. The successful candidate will contribute to innovative research focused on host-oncovirus infections, breast and cervical cancer, and cervical cancer prevention trials in Africa and the United States. The fellowship also offers valuable training and experience in genomics research, preparing fellows for careers in academia, government, or the private sector.

The fellow will play an active role in study design, project implementation, project management, data analysis, and manuscript preparation. Working within multidisciplinary teams, the candidate will collaborate with researchers across multiple departments and institutes at the University of Maryland School of Medicine, as well as with national and international academic partners. Research efforts will focus on applying genomic methods and analytical approaches to integrate existing datasets with genomic and phenotypic data, with the goal of developing and refining risk prediction models for complex diseases and traits.

This position offers exciting scientific challenges and significant opportunities for professional growth. Research activities may include the analysis of complex genomic datasets, database development and management, project coordination, qualitative and quantitative research, systematic reviews, and statistical modeling related to cancer, oncogenic viral infections, and other non-communicable diseases (NCDs). Responsibilities will also include preparing manuscripts for publication in peer-reviewed journals.

Candidates with experience in one or more of these areas are encouraged to apply. Additional duties may include protocol development, study design and implementation, supervision of junior researchers, presentations at national and international scientific conferences, and grant writing. Fellows may also have opportunities to contribute to related research projects. The training program includes mentored research, grant-writing experience, and teaching opportunities.

Qualifications

• Strong quantitative and analytical skills.
• Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata.
• Experience working with complex datasets and epidemiologic analyses.
• The ability to work both independently and collaboratively within multidisciplinary teams.
• Excellent organizational, record-keeping, and project management skills.
• Strong written and verbal communication skills in English.
• An interdisciplinary mindset and commitment to collaborative research.
• Outstanding interpersonal, communication, and time-management skills.

The University of Maryland, Baltimore is an equal opportunity/affirmative action employer. All qualified UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development, along with additional exciting perks that employees can take advantage of.

Benefits & Perks

• retirement program (pension or optional retirement plan/ORP)
• PAID leave package that includes over 4 weeks of vacation accrued each year, 15 paid holidays, 3 personal leave, unlimited accrual of sick time, and comprehensive health insurance
• professional learning and development programs
• tuition remission for employees and their dependents at any University System of Maryland school
• flexible work schedules and teleworking options (if applicable per job)

UMB is a public university and constituent institution of the University System of Maryland. All employees are expected to work primarily physically within the State of Maryland.

UMB is committed to cultivating a diverse and inclusive workforce and is proud to be an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, ancestry or national origin, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, genetic information, physical or mental disability, marital status, protected veteran's status, or any other legally protected classification.