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Singular Genomics Jobs (NOW HIRING)

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Singular Genomics information

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$27.5K

$50.7K

$75K

How much do singular genomics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for singular genomics in the United States is $50,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $60,500.00 per year, depending on experience, location, and employer.

What is Singular Genomics?

Singular Genomics is a biotechnology company that develops next-generation sequencing (NGS) technology and genomic analysis solutions. Their main focus is on advancing genomic sequencing platforms to provide fast, accurate, and flexible DNA and RNA sequencing for research and clinical applications. Singular Genomics' technologies are used in fields like genomics research, oncology, and infectious disease detection. Their goal is to empower researchers and clinicians with innovative tools to better understand genetics and improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a genomics scientist at Singular Genomics?

To thrive as a Genomics Scientist, you need a strong background in molecular biology, genetics, and bioinformatics, typically with a relevant advanced degree such as a PhD or MS. Familiarity with next-generation sequencing (NGS) platforms, data analysis tools like Python or R, and laboratory automation systems is essential. Strong problem-solving abilities, attention to detail, and collaborative communication skills help drive innovation and effective teamwork. These skills are crucial for developing, optimizing, and interpreting genomic assays in a fast-paced biotechnology environment.

What collaborative opportunities can I expect when working at Singular Genomics as a scientist or engineer?

At Singular Genomics, scientists and engineers routinely collaborate with multidisciplinary teams, including bioinformaticians, software developers, and product managers. This cross-functional environment fosters innovation and accelerates the development of next-generation sequencing technologies. Team members often participate in joint meetings, brainstorming sessions, and project reviews to solve complex challenges, ensuring that everyone’s expertise contributes to advancing the company’s mission. This collaborative culture also provides opportunities to learn from colleagues in adjacent fields and to take on leadership roles in projects as you gain experience.

What is the difference between Singular Genomics vs Illumina Technician?

AspectSingular GenomicsIllumina Technician
Required CredentialsBiotech or molecular biology degree, technical certificationsBiotech or molecular biology degree, technical certifications
Work EnvironmentBiotech labs, research facilities, manufacturing plantsBiotech labs, research facilities, manufacturing plants
Employer & Industry UsageBiotech companies, research institutionsBiotech companies, research institutions
Common Search & ComparisonYesYes

Both Singular Genomics and Illumina Technicians work in biotech labs and require similar credentials. While Singular Genomics focuses on genomic sequencing technology development, Illumina Technicians primarily maintain and operate sequencing equipment. Both roles are essential in the biotech industry, often overlapping in work environment and employer type.

More about Singular Genomics jobs

What cities are hiring for Singular Genomics jobs?

Cities with the most Singular Genomics job openings:

What states have the most Singular Genomics jobs?

States with the most job openings for Singular Genomics jobs include:

Infographic showing various Singular Genomics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $50,658 per year, or $24.4 per hour.

Senior Computational Biologist - Early Discovery Oncology

Menlo Ventures

Manhattan, NY • On-site

$166K - $220K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Your work will change lives. Including your own.

The Impact You’ll Make

As a computational biologist within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs.

This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de‑risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery.

We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases and one in precision oncology (this role).

In this role, you will:

  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in precision oncology disease biology
  • Pilot novel methods for target discovery, validation, and early patient population hypotheses to send programs into nomination cascades
  • Define internal criteria for target data packages and early patient population strategy
  • Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
  • Collaborate cross‑functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions.
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

The Team You’ll Join

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support.

The Experience You’ll Need

  • PhD in a relevant field (computational biology, bioinformatics, systems biology, cancer biology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
  • Domain expertise in precision oncology and target id
  • Strong understanding of patient genetics and druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
  • Exceptional data visualization skills
  • Excellent cross‑functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

  • Experience building a target discovery engine using public and proprietary datasets
  • Experience designing high‑throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
  • Previous exposure to efficient drug program advancement from proof of concept to IND

Working Location & Compensation:

This is an office‑based, hybrid role in our Salt Lake City, UT or New York, NY offices. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is:

  • New York City: $166,980 to $220,660
  • Salt Lake City: $151,800 to $200,600

In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

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