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Postdoctoral Researcher Data Scientist Jobs (NOW HIRING)

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Postdoctoral Researcher

Campus, IL · On-site

... Soil Science, Scientific Computing, Data Science, or a related field. Strong quantitative ... Postdoctoral Researcher - University of Florida/IFAS Southwest Florida Research and Education ...

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How much do postdoctoral researcher data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for postdoctoral researcher data scientist in the United States is $113,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a postdoctoral researcher data scientist?

A Postdoctoral Researcher Data Scientist is an individual who has completed their doctoral studies (PhD) and conducts advanced research, often in academic or research institutions, focusing on data analysis and computational methods. They apply statistical, machine learning, and programming skills to analyze large datasets and generate insights, often collaborating with interdisciplinary teams. Their work can span various fields such as biology, physics, social sciences, or engineering, depending on the research focus. This role serves as a bridge between academic research and practical data science applications, often leading to careers in academia, industry, or government.

How does a postdoctoral researcher data scientist typically collaborate with interdisciplinary teams in an academic or research setting?

As a Postdoctoral Researcher Data Scientist, you will frequently work alongside principal investigators, fellow researchers, statisticians, and domain specialists to design experiments, analyze complex datasets, and interpret findings. Collaboration often involves participating in regular team meetings, sharing code and data workflows, and co-authoring research papers or grant proposals. Effective communication is essential, as you may need to translate technical insights into actionable information for both technical and non-technical stakeholders. This interdisciplinary environment fosters both learning and innovation, while also building a strong professional network for future career growth.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher data scientist, and why are they important?

To thrive as a Postdoctoral Researcher Data Scientist, you need a strong background in statistical analysis, programming (such as Python or R), and a relevant PhD-level qualification. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and experience using databases and cloud computing platforms are commonly required. Critical thinking, effective communication, and collaboration skills set top candidates apart in multidisciplinary research environments. These abilities are crucial for producing rigorous, innovative research and translating complex data insights into impactful scientific contributions.

What is the difference between Postdoctoral Researcher Data Scientist vs Data Analyst?

AspectPostdoctoral Researcher Data ScientistData Analyst
Required CredentialsPhD in Data Science, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch institutions, universities, or R&D departmentsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsageAcademic, government, or corporate research projectsData-driven decision making in various industries
Common Search & ComparisonYesNo

The Postdoctoral Researcher Data Scientist typically holds a PhD and focuses on research and development in academic or research settings. In contrast, Data Analysts usually have a bachelor's or master's degree and work on analyzing data to support business decisions. While both roles involve data handling, the researcher role emphasizes advanced research, whereas the analyst role centers on reporting and insights for organizations.

What cities are hiring for Postdoctoral Researcher Data Scientist jobs?

Cities with the most Postdoctoral Researcher Data Scientist job openings:

What states have the most Postdoctoral Researcher Data Scientist jobs?

States with the most job openings for Postdoctoral Researcher Data Scientist jobs include:

What are popular job titles related to Postdoctoral Researcher Data Scientist jobs?

For Postdoctoral Researcher Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Postdoctoral Researcher Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,746 per year, or $54.7 per hour.

Postdoctoral Researcher - Data Science Institute

Milwaukee, WI • On-site

Medical College of Wisconsin
Health Care and Social Assistance • 5 - 10K employees
Learn more about Medical College of Wisconsinexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

Summary

According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.


The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.


A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).

Primary Responsibilities

  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.

  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.

  • Participate in APRICOT meetings, events.

  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.

  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings

General responsibilities:

  • Plan, design and execute complex research studies, procedures and protocols.

  • Participate in discovery projects.

  • Coordinate research study activities; lead and manage projects.

  • Oversee organization, synthesis and analysis of data and findings.

  • Prepare scientific reports, outcome findings and scientific manuscripts.

  • Participate in meetings with principal investigator and research staff in which you will evaluate/interpret the validity of data, develop methodologies, and design and evaluate lab procedures.

  • Maintain supplies, may require negotiation with vendors, and track purchase orders.

  • May oversee the work of laboratory personnel including training and development as well as daily work direction, delegation and establishing priorities.

  • Other duties as assigned.

Knowledge - Skills - Abilities

  • Required knowledge: ontology, terminology, controlled vocabularies, data models

  • Technical knowledge: Web Ontology Language, Protege, GitHub

  • Strong interest in multi-disciplinary collaboration

  • Writing skills

  • Skills and abilities: presentation skills, organization, time management, multi-tasking.

  • Documentation and records management

  • Data utilization

  • Complex problem solving and critical thinking

  • Resource management

Qualifications

Minimum Required Education: PhD in a scientific field or MD

Minimum Required Experience: 0 years

Preferred Education: PhD in Biomedical Informatics or related field

Preferred Experience: Ontology, semantic web, referent tracking

Physical Requirements

Work requires occasionally lifting moderate weight materials, standing, or walking continuously.

Work Environment

Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.

Sensory Acuity

Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.

Why MCW?

  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options

  • 403B Retirement Package

  • Competitive Vacation and Paid Holidays offered

  • Tuition Reimbursement

  • Paid Parental Leave

  • Employee & Family Assistance Program (EFAP)

  • Pet Insurance

  • On campus Fitness Facility, offering onsite classes

  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview

For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.


MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

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The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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