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Associate Director Computational Biology Jobs (NOW HIRING)

MyOme

Scientist, Computational Biology

Menlo Park, CA

$130K - $150K/yr

We are seeking a driven, analytical Scientist, Computational Biology to join our early-stage ... Direct access to company leadership and the opportunity for career growth Diversity, Inclusion, and ...

Baylor College of Medicine

WI · On-site

$63K/yr

Postdoctoral Associate - Computational biology and Bioinformatics Division: Medicine | Work Arrangement: Onsite only | Location: Houston, TX | Salary Range: $63,480 | FLSA Status: Exempt | Work ...

Louisiana State University

Questions can be directed to the chair of the search committee: Dr. Vinson Doyle Associate ... Assistant/Associate Professor (Computational Biology/Data Science) Posting Date:February 25, 2025 ...

Battelle

Computational Biologist

Columbus, OH · On-site

The ideal candidate is a self directed scientist who is comfortable building new computational workflows, integrating AI/ML enabled modeling tools, and translating biological hypotheses into ...

LSU AgCenter

Questions can be directed to the chair of the search committee: Dr. Vinson Doyle Associate ... Assistant/Associate Professor (Computational Biology/Data Science) Posting Date:February 25, 2025 ...

Louisiana Workforce Commission

Questions can be directed to the chair of the search committee: Dr. Vinson Doyle Associate ... Assistant/Associate Professor (Computational Biology/Data Science) Posting Date:February 25, 2025 ...

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Associate Director Computational Biology information

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$30.5K

$102.7K

$173K

How much do associate director computational biology jobs pay per year?

As of Sep 11, 2026, the average yearly pay for associate director computational biology in the United States is $102,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What is an associate director computational biology?

Associate Directors of Computational Biology are senior-level professionals who oversee research and development projects involving computational methods and data analysis in the biological sciences. They lead teams that use bioinformatics, statistical modeling, and machine learning to interpret biological data, often in areas like genomics, drug discovery, or personalized medicine. These professionals bridge the gap between biology and technology, ensuring that computational strategies align with scientific and organizational goals. They also collaborate closely with researchers, clinicians, and IT specialists to drive innovation and advance scientific understanding.

How does an associate director computational biology typically collaborate with cross-functional teams in a research environment?

As an Associate Director of Computational Biology, you’ll frequently work alongside scientists from biology, chemistry, and clinical teams to design experiments, analyze large datasets, and interpret results. Collaboration often involves leading data strategy discussions, integrating insights from multiple disciplines, and translating complex computational findings into actionable biological hypotheses. Regular meetings, joint project planning, and shared problem-solving sessions are common, ensuring that computational approaches align with broader research goals. Building strong communication skills and a collaborative mindset is key to success in this role.

What are the key skills and qualifications needed to thrive as an associate director computational biology?

To thrive as an Associate Director of Computational Biology, you need a PhD in computational biology, bioinformatics, or a related field, along with deep expertise in genomics and advanced data analysis. Familiarity with bioinformatics tools, programming languages (such as Python or R), and experience with high-performance computing environments are typically required. Strong leadership, project management, and communication skills help drive collaborative research and mentor interdisciplinary teams. These competencies are crucial for advancing scientific discovery, ensuring robust data interpretation, and guiding successful research initiatives.

What is the difference between Associate Director Computational Biology vs Senior Computational Biologist?

AspectAssociate Director Computational BiologySenior Computational Biologist
Required CredentialsAdvanced degree (PhD), extensive experience, leadership skillsPhD or MS, strong technical expertise
Work EnvironmentLeadership role, cross-functional teams, strategic planningHands-on research, data analysis, model development
Employer & Industry UsagePharmaceutical, biotech, research organizationsResearch labs, biotech companies, academia
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical expertise and project contributions

The Associate Director Computational Biology typically holds a leadership position with strategic responsibilities, overseeing teams and projects, while the Senior Computational Biologist focuses on technical research and data analysis. Both roles require advanced degrees and industry experience, but the Associate Director emphasizes management and strategic planning, whereas the Senior Computational Biologist concentrates on technical expertise and research execution.

What cities are hiring for Associate Director Computational Biology jobs?

Cities with the most Associate Director Computational Biology job openings:

What states have the most Associate Director Computational Biology jobs?

States with the most job openings for Associate Director Computational Biology jobs include:

What are popular job titles related to Associate Director Computational Biology jobs?

For Associate Director Computational Biology jobs, the most frequently searched job titles are:

Infographic showing various Associate Director Computational Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $102,728 per year, or $49.4 per hour.

Computational Biology & Bioinformatics Lead

Boston, MA

Institute for Protein Innovation
Biotechnology Research and Development • 11 - 50 employees
Learn more about Institute for Protein Innovationexternal

$200K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

The Institute for Protein Innovation (IPI)is a nonprofit research organization advancing protein science to accelerate research and improve human health.  Founded in 2017 and located in Boston’s Longwood Medical Area, the Institute’s three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
 
With a significant endowment, IPI uniquely combines the freedom of academia with the high throughput and scale of industry to take on transformative projects. IPI has built a robust platform for discovering, developing, and distributing synthetic antibodies and other protein tools to share with the biomedical community. The Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond.  

Purpose

Computational Biology & Bioinformatics Lead will help grow IPI's computational protein science team and be responsible for the machine learning and data systems that support work across the Institute. This includes the following functional teams: antibody and antigen discovery, protein characterization, neuroscience, lab automation and lab operations.

This role is responsible for training and applying foundation models for protein structure prediction and design, building models that predict biophysical properties from sequence and structure and turning large multimodal biological datasets into tools and portals that can be effectively utilized across the Institute.

This position provides a combination of hands-on technical work with team leadership skills to fulfill responsibilities and achieve goals.

The position will collaborate closely with the Associate Director & Program Manager of the Antibody Platform and reports to the Senior Director of the Antibody Platform.

Primary Responsibilities
  1. Train, fine-tune, and benchmark foundation models for protein folding and design, including structure prediction models and generative models for de novo binder and antibody design, and integrate these models for routine use in antigen and antibody discovery projects.
  2. Build and validate models that predict biophysical properties such as stability, aggregation, expression, binding affinity, and developability, using multimodal data across sequence, structure, next generation sequencing, proteomics, and assay results.
  3. Run in silico binder and antibody design campaigns and pair them with experimental rounds so predictions are tested and the results feed back into the models.
  4. Develop pipelines and platforms for in vitro antibody discovery data, protein biophysical characterization, proteomics, and next generation sequencing analysis.
  5. Build and maintain web portals and databases for large biological datasets, including IPI's external antigen and antibody catalogs (for example OpenAntigens) and internal research databases.
  6. Work with teams and groups across the Institute to design experiments, interpret and analyze results, and effectively integrate computational tools into established team workflows.
  7. Manage cloud and high-performance computing environments, including GPU infrastructure for model training and large-scale analysis.
  8. Lead and mentor a small team of computational biologists and bioinformaticians.
  9. Effectively present computational analyses to technical and non-technical audiences and contribute to publications, patents, and products.
  10. Establish standards for data management, version control, reproducibility, and MLOps in the group.
Qualifications

Required

  • PhD in computational biology, bioinformatics, biophysics, machine learning, or a related field, with a strong background in protein science or biochemistry.
  • 5 or more years of relevant experience, including experience leading or mentoring computational staff or serving as a technical lead. Direct experience managing a team of two to four people is a plus.
  • Strong Python and hands-on experience with deep learning frameworks such as PyTorch.
  • Experience developing, modifying, and applying protein machine learning models for structure prediction and design.
  • Experience building or training models on multimodal biological data, with a track record shown through publications, patents, or products.
  • Experience with de novo protein and antibody design and validation cycles.

Preferred. (strong candidates will bring several of these, but not all are required)

  • Experience with next generation sequencing analysis.
  • Experience building data portals, APIs, or databases for large biological datasets.
  • Experience with cloud computing and high-performance computing or GPU environments.
  • Familiarity with antibody discovery, proteomics, or protein biophysical characterization assays.
  • Experience integrating computational predictions with wet-lab workflows, including LIMS or ELN systems.
IPI provides competitive compensation and an excellent benefits package to support physical, mental and financial health. Highlights of benefits include:
 
·        100% employer-paid medical, dental, and vision plans
·        Flexible spending accounts and a healthcare reimbursement account
·        401(k) plan with generous 6% employer match – immediately 100% vested
·        Generous PTO package
·        Commuter and parking reimbursement
·        Career development opportunities
 
For more information, visit proteininnovation.org or follow us on social media, @ipiproteins. IPI is an independent 501(c)(3) nonprofit research organization and an equal-opportunity employer. The Institute celebrates diversity and is committed to creating an inclusive environment for all employees. Please be advised that you will be required to provide evidence of your identity and eligibility for employment in the United States. IPI will not guarantee sponsorship of foreign nationals and retains complete discretion regarding providing sponsorship to any prospective or existing employee at time of hire or at any time in the future.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.