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Computational Biology Postdoc Jobs (NOW HIRING)

$124K - $187K/yr

You will leverage your expertise in Computational Biology and state-of-the-art data analysis skills ... postdoctoral experience or relevant industry experience Employees can expect to be paid a salary ...

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

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How much do computational biology postdoc jobs pay per year?

As of Jun 10, 2026, the average yearly pay for computational biology postdoc in the United States is $70,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computational Biology Postdoc position, and why are they important?

To excel as a Computational Biology Postdoc, you need a strong background in biology, quantitative analysis, and programming, typically backed by a PhD in computational biology, bioinformatics, or a related field. Experience with bioinformatics tools, programming languages such as Python or R, and statistical analysis software is highly valued. Strong problem-solving abilities, effective communication, and the capacity to work both independently and in interdisciplinary teams are crucial soft skills. These qualifications enable postdocs to design and execute robust research, interpret complex biological data, and collaborate effectively on innovative scientific projects.

What is a Computational Biology Postdoc job?

A Computational Biology Postdoc is a research-focused position for recent Ph.D. graduates who use computational methods to analyze biological data. This role often involves developing algorithms, statistical models, or software to study genomics, proteomics, or other biological systems. Postdocs work under the supervision of a principal investigator, contributing to ongoing projects or initiating independent research. The position typically lasts 1-3 years and prepares researchers for academic, industry, or government careers.

What does a typical day look like for a Computational Biology Postdoc?

A typical day for a Computational Biology Postdoc involves analyzing large-scale biological datasets, developing or applying computational models, and interpreting results in collaboration with experimental scientists. Postdocs often participate in lab meetings, present findings, write manuscripts, and contribute to grant proposals. Collaboration with biologists, statisticians, and other computational researchers is common, fostering a dynamic and interdisciplinary work environment. Balancing independent research with teamwork enables postdocs to advance scientific projects while developing their own expertise and career trajectory.

More about Computational Biology Postdoc jobs
What cities are hiring for Computational Biology Postdoc jobs? Cities with the most Computational Biology Postdoc job openings:
What are the most commonly searched types of Computational Biology Postdoc jobs? The most popular types of Computational Biology Postdoc jobs are:
What states have the most Computational Biology Postdoc jobs? States with the most job openings for Computational Biology Postdoc jobs include:
Associate Principal Scientist: Drug Discovery - Computational Biologist Multi-Omics

Associate Principal Scientist: Drug Discovery - Computational Biologist Multi-Omics

Bayer

Cambridge, MA • On-site

$124K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Bayer rating

8.1

Company rating: 8.1 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

31st of 71 rated pharmaceutical


Job description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Associate Principal Scientist: Drug Discovery - Computational Biologist Multi-Omics
We are looking for a highly creative and motivated Computational Biologist for Multi-omics analysis to join Bayer's Chemical Biology, Imaging and Omics (CBIO) sub-cluster within Drug Discovery Sciences in the Bayer Research and Innovation Center (BRIC) in Cambridge (MA). At CBIO, you will be part of an interdisciplinary team of scientists within the R&D organization, supporting projects across the R&D portfolio and contributing to excellence in early drug discovery. You will leverage your expertise in Computational Biology and state-of-the-art data analysis skills to design and interpret Multi-omics experiments, addressing drug discovery challenges from target identification to drug development.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of the Associate Principal Scientist: Drug Discovery - Computational Biologist Multi-Omics are to:
  • Drive pivotal scientific questions in drug discovery projects as a purpose-driven drug hunter, providing critical insights for go/no-go decisions and advancing our understanding of targets and modalities
  • Design and execute integration of multi-omics data (Chemo-proteomics, Transcriptomics), analyzing single or multiple omics layers to generate novel insights into disease, target, and compound biology
  • Develop and implement cutting-edge computational tools and pipelines for complex multi-omics data analysis
  • Actively participate in drug discovery project teams, contributing to target identification and validation, modality discovery, and mode-of-action deconvolution
  • Transform multi-parametric data into testable hypotheses through iterative collaboration with wet lab scientists and data scientists
  • Champion AI-enabled drug discovery and actively contribute to AI-driven projects
  • Scout and evaluate innovative approaches through partnerships with CROs, biotech, and academia
  • Contribute to scientific publications and present at conferences to enhance our research visibility and demonstrate scientific excellence

WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required qualifications:
  • Ph.D. in Computational Biology, Systems Biology, Chemical Biology, Biology, or related Life Sciences with demonstrated expertise in Computational Biology and strong understanding of Biology and Experimental Biology
  • Extensive hands-on experience in multi-omics data analysis (Transcriptomics, Proteomics, ATAC-seq, Ribo-seq, etc.). Application of these methods to the study of compound biology / chemical biology is a plus
  • Demonstrated success in designing and interpreting complex biological experiments, particularly in Chem-Omics
  • Proven ability to extract meaningful biological insights from quantitative datasets through deep understanding of chemical biology, cell biology, and disease biology
  • Track record of successfully integrating multiple omics datasets to generate novel insights
  • Strong understanding of experimental workflows and ability to collaborate with wet-lab colleagues for optimization and troubleshooting
  • Expert knowledge of programming languages (Python or R) and statistical methods relevant to Computational Biology
  • Experience in Chemo-informatics or Chemo-genomics is highly desirable
  • Knowledge of spatial omics analysis is advantageous
  • Outstanding interpersonal and communication skills with demonstrated ability to work effectively in cross-disciplinary teams

Preferred qualifications:
  • 4+ years of postdoctoral experience or relevant industry experience

Employees can expect to be paid a salary between $124,960.00 - $187440.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.
This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 06/09/2026.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location:United States : Massachusetts : Cambridge Division:Pharmaceuticals Reference Code:870320 Contact Us Email:hrop_usa@bayer.com

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About Bayer

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Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Whippany, NJ, US