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Biology Coding Jobs in New York (NOW HIRING)

Biohub

Senior Staff Data Engineer

New York, NY · On-site +1

$270K - $338K/yr

We care about code quality, operational reliability, and building systems that scale. And we care about the biology: we want engineers who can recognize when a pipeline output is technically correct ...

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Biology Coding information

See New York salary details

$12.4K

$193.7K

$273.4K

How much do biology coding jobs pay per year?

As of Sep 7, 2026, the average yearly pay for biology coding in New York is $193,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $246,900.00 per year, depending on experience, location, and employer.

What is biology coding?

A Biology Coding job involves using programming skills to analyze biological data, develop software tools, and create algorithms for applications like genomics, bioinformatics, and computational biology. Professionals in this field often use languages like Python, R, or MATLAB to process large datasets, automate experiments, and model biological systems. These roles are common in healthcare, biotechnology, research institutions, and pharmaceutical industries.

What does a biology coding professional do?

Professionals in Biology Coding commonly spend their days analyzing large biological datasets, developing scripts or software to automate repetitive tasks, and collaborating with researchers to interpret data findings. They may also clean and prepare raw data, create data visualizations, and maintain documentation to ensure reproducibility of analyses. Interfacing with both scientists and computational teams is a key part of the job, making clear communication and teamwork vital. This dynamic role offers a mix of independent problem-solving and collaborative project work, providing a stimulating and impactful environment for growth.

What skills and qualifications are needed for biology coding?

To thrive in a Biology Coding role, you need a solid background in biological sciences combined with strong programming skills, typically evidenced by a degree in biology, bioinformatics, or a related field, and proficiency in languages such as Python or R. Familiarity with data analysis platforms, bioinformatics tools, and experience with databases like GenBank or BLAST are often required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating with multidisciplinary teams. These competencies are crucial for accurately translating biological data into actionable insights and supporting research and development initiatives.

Is there coding in biology?

Biology coding involves using programming languages like Python or R to analyze biological data, such as genetic sequences or ecological datasets. Biology coding roles often require knowledge of bioinformatics tools, data analysis, and scripting skills to support research and data interpretation.

What are the most commonly searched types of Biology Coding jobs in New York?

The most popular types of Biology Coding jobs in New York are:

What are popular job titles related to Biology Coding jobs in New York?

For Biology Coding jobs in New York, the most frequently searched job titles are:

What job categories do people searching Biology Coding jobs in New York look for?

The top searched job categories for Biology Coding jobs in New York are:

Biology Coding jobs near you
Infographic showing various Biology Coding job openings in New York as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $193,676 per year, or $93.1 per hour.

Senior I / Senior II Computational Biologist, External Collaborations

Meron Capital

Manhattan, NY • On-site

$150 - $200/hr

Other

Posted 6 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 Senior I / Senior II Computational Biologist 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 City, NY (Hybrid model)

What will you do?

  • Drive novel research by leading computational biology efforts for industry and academic 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 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, including through the effective utilization of LLM-based tools
  • Champion Immunai core values
Requirements

Required qualifications:

  • Experience in multi-omic data analysis including bulk and single-cell transcriptomics (8-10 yrs relevant experience; MSc w/ 6+ yrs experience or PhD w/ 2+ years postdoctoral experience)
  • 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)
  • Background and experience with machine learning methodologies and continued interest in learning and applying ML approaches
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations
  • Experience leading large scale initiatives and projects demonstrated through first author peer-reviewed publications in relevant subject areas and/or project lead roles in industry positions
  • Keen interest in biology and immunology with demonstrated research experience in immuno-oncology and/or autoimmune diseases; experience in CAR-T biology is a plus.
  • Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team

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 $145,000 and $175,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.

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