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Associate Computational Biologist Jobs in New York

Post Doctorate Associate

New York, NY ยท On-site

$65K - $80K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Gibbons Lab ... Qualifications Qualifications Candidates should have a PhD in computational biology, bioinformatics ...

Post Doctorate Associate

New York, NY ยท On-site

$65K - $80K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Gibbons Lab ... Qualifications Candidates should have a PhD in computational biology, bioinformatics, microbiology ...

Post Doctorate Associate

New York, NY ยท On-site

$62K - $70K/yr

... computational biology is desired. Salary: In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $62,500-$70,000 depending on the candidate's experience and ...

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Associate Computational Biologist information

See New York salary details

$53.1K

$102.8K

$146.1K

How much do associate computational biologist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for associate computational biologist in New York is $102,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $128,000.00 per year, depending on experience, location, and employer.

What is an associate computational biologist?

An Associate Computational Biologist analyzes biological data using computational techniques to support research in genomics, proteomics, and related fields. They work with large datasets, develop algorithms, and write code to interpret biological information. This role often involves collaborating with biologists, bioinformaticians, and software engineers to derive insights from complex biological systems. Strong skills in programming, statistics, and data analysis are essential.

What are the typical daily responsibilities of an associate computational biologist?

An Associate Computational Biologist typically spends their days analyzing large-scale biological data sets, developing or utilizing computational models, and collaborating closely with lab scientists and senior bioinformaticians. Tasks may include writing scripts to automate data processing, visualizing complex results, and interpreting biological significance in partnership with experimental teams. You may also be responsible for troubleshooting data anomalies, staying current with evolving bioinformatics tools, and participating in team meetings to discuss ongoing research projects. This dynamic work environment requires both independent focus and regular communication with interdisciplinary colleagues.

What are the key skills and qualifications needed to thrive in the associate computational biologist position, and why are they important?

To thrive as an Associate Computational Biologist, you need a strong foundation in biology, statistics, and programming, often demonstrated by a relevant degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, data visualization software, and commonly used genomics databases is essential, and experience with high-performance computing environments is a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively with interdisciplinary teams are key soft skills for this role. These competencies enable accurate analytical work, innovative research approaches, and effective collaboration, ensuring success in a fast-paced, research-driven environment.

What are the most commonly searched types of Computational Biologist jobs in New York?

The most popular types of Computational Biologist jobs in New York are:

What cities in New York are hiring for Associate Computational Biologist jobs?

Cities in New York with the most Associate Computational Biologist job openings:

Infographic showing various Associate Computational Biologist job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $102,826 per year, or $49.4 per hour.

Computational Biologist II, External Collaborations

Manhattan, NY โ€ข On-site, Remote

Immunai
Biotechnology Research and Developmentย โ€ขย 51 - 200 employees

$130K - $150K/yr

Full-time

Re-posted 8 days ago


Job description

Description
About Immunai:
Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.
We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We're building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business.
Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About the role:
As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners. Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications.
Watch the video to learn more about Immunai's culture, and how the External Collaborations team is driving the next generation of oncology and immunology discoveries.
Location: New York, NY (Hybrid model)
Reporting to: Associate Director, Computational Biology
What will you do?
  • Drive novel research by leading computational biology efforts for industry partnership projects in immuno-oncology and autoimmune diseases
  • Liaise with external and internal stakeholders to define research objectives and analysis plans
  • Execute rigorous and reproducible data analysis using state of the art statistical and ML/AI methods
  • Maintain close collaboration with a highly multidisciplinary internal team throughout the life cycle of each project to ensure successful delivery
  • Clearly communicate findings to external stakeholders in the form of presentations and data reports
  • Devise and implement new approaches to push the boundaries of Immunai's capabilities
  • Champion Immunai core values

Requirements
Required qualifications:
  • PhD (preferred in Bioinformatics/Computational Biology/Statistics) and a minimum of 2-5 years related experience post PhD (industry or postdoc).
  • 2-5 years experience in multi-omics data analysis including bulk and single-cell transcriptomics- a must
  • Expertise in current bioinformatics and computational biology tools, methods, and applications; Strong ability to develop and test data analysis code (R or Python's pandas) - a must
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations - a must
  • Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team - a must
  • Background in ML/AI - preferred
  • Experience with AI-assisted coding (ex. cursor) - preferred
  • Background in cancer immunotherapy and/or autoimmune disease applications is a bonus

Desired personal traits:
  • You want to make an impact on humankind
  • You prioritize "We" over "I"
  • You enjoy getting things done and striving for excellence
  • You collaborate effectively with people of diverse backgrounds and cultures
  • You have a growth mindset
  • You are candid, authentic, and transparent

Compensation: This position offers a base salary typically between $130,000 - $150,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.
*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Spark Hire. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/