Postdoctoral Research Fellow - Michor Lab

Dana-Farber Cancer Institute
Dana-Farber Cancer Institute logo
Location
Boston Job Posting Location
Job Type
Full-time
Posted
June 9, 2026
Views
16
Salary Range
$72k - $76k USD

Job Description

The lab of Prof. Franziska Michor, PhD at the Dana-Farber Cancer Institute (Department of Data Science) & Harvard University (Departments of Biostatistics and Stem Cell and Regenerative Biology) is looking for curious, mathematically-minded researchers to push the frontier of AI and computational biology in healthcare and biomedicine.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Focus -Develop next-generation computational systems for biomedical and clinical data using:
* Probabilistic generative models (VLMs, diffusion, flow models)
* Reinforcement learning & Markov decision processes
* Causal inference & counterfactual reasoning
* Mechanistic & physics-informed modeling
* Agentic AI systems for optimizing adaptive, temporal, high-dimensional systems

Data -Real-World Multi-Modal Patient Data:
* Multimodal biomedical data (omics, medical images, histopathology, single cell/bulk, spatial omics)
* Clinical patient trajectories, treatment schedules, and outcomes (survival, resistance, response)

Impact -Foundations for interventional medical AI:
* Patient digital twins
* Virtual AI clinicians
* Virtual cells, tumors, and organs
* Tumor evolution models
* Virtual clinical trials
* Large-scale virtual hospital environments


The Research Fellow will conduct independent and collaborative research under the guidance of a faculty mentor or principal investigator. Responsibilities include designing and executing research projects, analyzing and interpreting data, contributing to manuscripts and presentations, and participating in lab or program activities. The Research Fellow is expected to stay current with relevant literature, adhere to research protocols and ethical standards, and support grant-related or collaborative initiatives as needed.

You might be a fit if you:
* Have a PhD in computer science, statistics, applied math, computational biology or related discipline

* Strong programming fundamentals and statistics knowledge
* Interest & knowledge about oncology & immunology, molecular & cellular mechanisms

* Work with ML + generative AI + GPUs at scale

* Experience with clinical or biomedical data and workflows
* Enjoy multimodal + real-world data
* Are excited about high-impact biomedical problems and clinical translation

* Have a strong publication record in math, statistics, or ML/AI research

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEO Poster

.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

The lab of Prof. Franziska Michor, PhD at the Dana-Farber Cancer Institute (Department of Data Science) & Harvard University (Departments of Biostatistics and Stem Cell and Regenerative Biology) is looking for curious, mathematically-minded researchers to push the frontier of AI and computational biology in healthcare and biomedicine.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Focus -Develop next-generation computational systems for biomedical and clinical data using:
* Probabilistic generative models (VLMs, diffusion, flow models)
* Reinforcement learning & Markov decision processes
* Causal inference & counterfactual reasoning
* Mechanistic & physics-informed modeling
* Agentic AI systems for optimizing adaptive, temporal, high-dimensional systems

Data -Real-World Multi-Modal Patient Data:
* Multimodal biomedical data (omics, medical images, histopathology, single cell/bulk, spatial omics)
* Clinical patient trajectories, treatment schedules, and outcomes (survival, resistance, response)

Impact -Foundations for interventional medical AI:
* Patient digital twins
* Virtual AI clinicians
* Virtual cells, tumors, and organs
* Tumor evolution models
* Virtual clinical trials
* Large-scale virtual hospital environments


The Research Fellow will conduct independent and collaborative research under the guidance of a faculty mentor or principal investigator. Responsibilities include designing and executing research projects, analyzing and interpreting data, contributing to manuscripts and presentations, and participating in lab or program activities. The Research Fellow is expected to stay current with relevant literature, adhere to research protocols and ethical standards, and support grant-related or collaborative initiatives as needed.

You might be a fit if you:
* Have a PhD in computer science, statistics, applied math, computational biology or related discipline

* Strong programming fundamentals and statistics knowledge
* Interest & knowledge about oncology & immunology, molecular & cellular mechanisms

* Work with ML + generative AI + GPUs at scale

* Experience with clinical or biomedical data and workflows
* Enjoy multimodal + real-world data
* Are excited about high-impact biomedical problems and clinical translation

* Have a strong publication record in math, statistics, or ML/AI research

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEO Poster

.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$72,000.00 - $76,385.00

Researching Dana-Farber Cancer Institute before you apply?

See 27 open roles · Verified H-1B salary data · Clinical-trial hiring momentum · Culture, benefits & locations.

View Dana-Farber Cancer Institute profile

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in Boston at the Boston Job Posting Location. The posting does not specify a remote or hybrid work-mode policy.
What are the required qualifications and experience for this role?
You need a PhD in computer science, statistics, applied math, computational biology, or a related discipline. Requirements include strong programming and statistics fundamentals, experience with ML, generative AI, and GPUs at scale, a strong publication record in math, statistics, or ML/AI, and experience with clinical or biomedical data.
What are the key responsibilities of the Postdoctoral Research Fellow?
You will conduct independent and collaborative research under a faculty mentor. Responsibilities include designing and executing research projects, analyzing and interpreting data, contributing to manuscripts and presentations, staying current with literature, adhering to ethical standards, and supporting grant-related or collaborative initiatives.
What is the salary range for this position?
The salary range for this position is $72,000.00 - $76,385.00. Individual salaries are determined by factors such as business needs, market conditions, internal equity, and the candidate's relevant experience, skills, and qualifications.
Who will I report to or work under?
You will conduct research under the guidance of a faculty mentor or principal investigator in the lab of Prof. Franziska Michor, PhD.

Ready to Apply?

Apply for this Position

You'll be redirected to the company's application page

Share this job:

Explore Dana-Farber Cancer Institute

Research the company before you apply.

  • 27 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
View company profile

Job Information

Source: workday
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Boston Job Posting Location
Skills & Tags:
dana-farber cancer institute pharma

Get Similar Jobs by Email

Weekly digest of Dana-Farber Cancer Institute and similar companies. Free.

Related Jobs

Apply for this Position

Get weekly job alerts