1

Biotech Software Engineer Jobs in New York (NOW HIRING)

Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the ... Roughly 6 to 8 or more years of professional software, ML, or product engineering experience ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... biotechnology. Our global teams work every day to solve the world's most complex challenges by ...

Showing results 21-40

Biotech Software Engineer information

See New York salary details

$69.5K

$161.4K

$224.8K

How much do biotech software engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for biotech software engineer in New York is $161,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $189,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biotech software engineer?

To thrive as a Biotech Software Engineer, you need a solid background in computer science or software engineering, coupled with an understanding of biology, genetics, or related life sciences. Familiarity with programming languages such as Python or Java, experience using bioinformatics tools (like BLAST or Bioconductor), and, in some settings, knowledge of regulatory standards are highly valuable. Strong problem-solving abilities, effective communication, and the ability to work well in interdisciplinary teams distinguish top performers in this field. These skills are crucial for building reliable software solutions that support scientific discovery and innovation in biotechnology organizations.

What does a biotech software engineer do?

As a Biotech Software Engineer, you'll often develop and maintain software tools for analyzing biological data, automate laboratory workflows, or create user-friendly interfaces for scientific researchers. Your daily tasks might include writing code, troubleshooting algorithms, reviewing scientific data, and collaborating closely with biologists, data scientists, and laboratory technicians. Depending on the company, you may be involved in developing cloud-based platforms, integrating new laboratory hardware, or ensuring software compliance with industry regulations. This dynamic and collaborative environment means your work directly impacts ongoing research and helps accelerate scientific discoveries in the biotech sector.

What is a biotech software engineer?

A Biotech Software Engineer develops software solutions for the biotechnology industry, enabling research, data analysis, and automation in fields like genomics, bioinformatics, and drug discovery. They work with scientists to design algorithms, manage biological data, and create applications that support experiments and workflows. This role requires expertise in programming, cloud computing, and biological sciences to bridge the gap between technology and life sciences.

What are the most commonly searched types of Biotech Software Engineer jobs in New York?

The most popular types of Biotech Software Engineer jobs in New York are:

What cities in New York are hiring for Biotech Software Engineer jobs?

Cities in New York with the most Biotech Software Engineer job openings:

Infographic showing various Biotech Software Engineer job openings in New York as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $161,396 per year, or $77.6 per hour.

Senior Software / AI Engineer

Pathos

New York, NY • On-site

$180K - $200K/yr

Full-time

Re-posted 8 days ago


Job description

Drug development shouldn't be guesswork, not when patients are waiting.
Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the operating system for how medicines get developed. We believe most drugs don't fail because the science was wrong. They fail because they were tested in the wrong patients, with the wrong assumptions, in trials that couldn't answer the real question: who benefits, and why?
Pathos exists to change that. We're building the largest foundation model in oncology and pairing it with proprietary AI systems, deep oncology expertise, and 200+ petabytes of multimodal data linked to patient outcomes, so we can make development decisions with more precision, much earlier.
This is not theoretical. We're well-capitalized and have the leadership to build a generational company. We invest in and advance our own clinical-stage programs, using our AI platform to sharpen trial design, patient selection and biomarker strategy. So therapies reach the patients most likely to benefit, sooner.
How We Build
Pathos does not operate like a traditional biotech. There is no middle management. There are no layers of approval. The company is designed, from the ground up, around small teams of 2-4 subject-matter experts who each command hundreds of AI agents to do the work that used to require dozens of people.
Everyone builds. Everyone ships. Every function at Pathos - from clinical execution to asset selection to the foundation model itself - runs on this model. Our product velocity delivers meaningful outcomes in hours instead of weeks. This is not a future aspiration. It is how we operate today.
The people who thrive here are operators: deep experts who can specify what needs to happen, orchestrate AI agents to execute at scale, and make high-judgment calls that compound over time. If you have spent your career building and shipping AI systems at scale, this is the environment where that experience becomes a superpower.
About the role
Pathos is building the first AI native biotech platform, one that turns massive multimodal datasets into foundation models, and those models into live agents that materially change how drug development is done. Instead of bolting AI onto legacy pharma systems, we are designing a new stack from the ground up.
We are hiring an engineer to architect and ship the first generation of Pathos AI and data infrastructure. Your work will power our core products and run the agents that support BD, clinical development, computational biology, and lab teams. This is an early role with broad technical scope and full ownership.
If you want to build the technical infrastructure that rewires the R&D workflow, this is the place to do your career's best work. It is one of the most direct applications of your engineering skill to advances in cancer research.
What You'll Build
  • Build AI agents and copilots for internal teams across BD, clinical, computational biology, and lab.
  • Build robust data pipelines into a governed warehouse and knowledge graph.
  • Build MCP style servers and tooling so agents can safely talk to internal systems.
  • Work across the full product lifecycle: prototype, iterate, ship, and maintain.

Who You Are
You have architected and owned a production system end to end, from design through observability, that real users depend on. You have shipped LLM powered workflows in production, not just prototyped them. You know how technologies like LangGraph work and not just use it as a library. You make high judgment technical calls at the system level, not just execute well-scoped tasks. You move quickly, take initiative, and operate with a strong sense of ownership. You like working closely with end users and shaping products from zero to one.
Must-haves:
  • Roughly 6 to 8 or more years of professional software, ML, or product engineering experience building systems that real users depend on. We read this as a signal of demonstrated scope, not a hard gate.
  • Fluent in Python and TypeScript in production, and comfortable building full stack applications.
  • Experience with production grade APIs, eventing, and data engineering, ideally cloud native on GCP, BigQuery, or similar.
  • You own services end to end: architecture, implementation, testing, and observability.

Bonus:
  • Prior work on agentic systems at scale, retrieval systems, or ML infrastructure.
  • Experience operating in highly regulated environments that use patient and clinical trial data.

Location
This is a hybrid role, requiring up to 3-4 days per week onsite, in our NYC Headquarters.
The pay range for this role is:
180,000 - 200,000 USD per year (New York Office)