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Deep Genomics Jobs (NOW HIRING)

Deep Genomics

Principal Research Associate

Cambridge, MA · On-site

$115K - $135K/yr

About Us Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of ...

Deep Genomics

Principal Research Associate

Cambridge, MA

$115K - $135K/yr

About Us Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of ...

Deep Genomics

Principal Research Associate

Cambridge, MA

$115K - $135K/yr

About Us Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of ...

Flatiron Health

Urologic Oncology & Genomics APP

OR · On-site +1

Over the 6-month contract period, you will bring deep, demonstrated expertise in both clinical oncology with a focus on urologic oncology and genomic testing-including test selection, result ...

Flatiron Health

Urologic Oncology & Genomics APP

Over the 6-month contract period, you will bring deep, demonstrated expertise in both clinical oncology with a focus on urologic oncology and genomic testing-including test selection, result ...

Axle

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

Systems-scale approaches are developed and used for deep profiling of immune states during disease ... Process cell suspensions for single-cell analysis using 10x Genomics instruments. * Perform bulk ...

10x Genomics

General Job Template

Pleasanton, CA · On-site

[Insert ] About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than ... We know that behind every scientific breakthrough, there is a deep infrastructure of talented ...

Axle

Genomics Technician

Rockville, MD · On-site

Systems-scale approaches are developed and used for deep profiling of immune states during disease ... Process cell suspensions for single-cell analysis using 10x Genomics instruments. * Perform bulk ...

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How much do deep genomics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for deep genomics in the United States is $25.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $30.77 per hour, depending on experience, location, and employer.

What is a Deep Genomics?

A Deep Genomics job typically involves using artificial intelligence and machine learning to analyze genetic data and discover new insights for drug development, diagnostics, or personalized medicine. Professionals in this field work at the intersection of bioinformatics, computational biology, and AI, applying algorithms to predict the impact of genetic variations on health. Roles may include research scientists, bioinformaticians, data scientists, or software engineers specializing in genomics. These jobs are common in biotech companies, pharmaceutical firms, and research institutions aiming to advance precision medicine.

What are the key skills and qualifications needed to thrive in Deep Genomics?

To thrive in a Deep Genomics role, you need a strong background in computational biology, bioinformatics, and machine learning, often supported by a graduate degree in a related field. Expertise with data analysis tools such as Python, R, and deep learning frameworks like TensorFlow or PyTorch is typically required. Creative problem-solving, teamwork, and effective communication are highly valued soft skills. These capabilities are critical for developing advanced genomic solutions and collaborating with interdisciplinary teams to drive breakthroughs in personalized medicine.

What are some common challenges faced by professionals working in Deep Genomics?

Professionals in Deep Genomics roles often encounter challenges such as managing large and complex biological datasets, ensuring data quality, and developing models that generalize well to real-world scenarios. Working in this interdisciplinary field also requires ongoing learning to stay current with advancements in genomics and artificial intelligence. Team members frequently collaborate with wet lab scientists, clinicians, and data engineers, which can require strong cross-disciplinary communication and adaptability. Facing and overcoming these challenges offers valuable growth opportunities and makes significant contributions to the development of innovative therapies.

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Deep Genomics jobs near you
Infographic showing various Deep Genomics job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $53,852 per year, or $25.9 per hour.

Principal Research Associate

Deep Genomics

Cambridge, MA • On-site

$115K - $135K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago

Job description

About Us
Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, drug development, bioinformatics, data science, genetics and chemistry, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.
About the role
The Principal Research Associate will join our Platform Biology team and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will be responsible for helping characterize our novel compounds, including performing automated high-throughput arrayed screening, as well as downstream characterization of these molecules. Further, you will be instrumental in helping develop, optimise and implement novel cellular and protein assays to advance our internal therapeutics portfolio. The ideal candidate will have strong cell biology expertise, and hands-on experience using primary hepatocyte cells. Relevant knowledge of RNA modalities such as ADAR, ASO, mRNA and/or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative, technical ownership and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals.
This position is onsite at our Cambridge, MA site.
Key Responsibilities
  • Design, optimise and execute robust cell-based assays, to support compound screens and lead optimisation.
  • Culture, maintain and transfect a variety of mammalian cell lines, such as immortalized cell lines, primary cells and co-culture systems, and onboard new cell types and systems to enable drug discovery.
  • Examine important molecular and functional endpoints in vitro, including RNA and protein readouts, to better understand our molecules in our internal therapeutic pipeline.
  • Perform standard molecular biology techniques (e.g. PCR, qPCR, Jess/Leo Automated Westerns, ELISA, Western blot, etc.).
  • Collaborate with a cross-functional team in a dynamic, matrixed environment to achieve shared company deadlines, and communicate experimental design and findings with colleagues and project teams.
  • Clearly document experiments, standard operating procedures (SOPs) and data in an electronic lab notebook (ELN).

Basic Qualifications
  • BS or MS in Biology, Molecular Biology, Genomics, Biochemistry or a related field with 4+ years of relevant pharmaceutical or biotechnology experience.
  • Strong hands-on experience growing, maintaining and transfecting mammalian cell lines.
  • Good understanding of molecular and cell biology.
  • Experienced in design and execution of molecular and cellular assays, including documentation in an electronic lab notebook (ELN).
  • Excellent communication, organizational skills and a willingness to learn.
  • Ability to prioritise and drive work independently in a fast-paced, technical and data-rich environment.

Preferred Qualifications
  • Hands-on experience using primary hepatocytes is strongly preferred.
  • Proficiency in automated Western blotting methods, such as the Jess/Leo platforms.
  • Flow cytometric experience is a plus.
  • Experience with high-throughput liquid handlers (e.g. Beckman Echo, Agilent Bravo and/or Hamilton STAR/STAR V).
  • Next-generation sequencing library preparation, e.g. amplicon sequencing.
  • Past experience with RNA editing and/or RNA oligonucleotides.
  • Demonstrated experience working in cross-functional teams.

What We Offer
  • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
  • Highly competitive compensation, including meaningful stock ownership.
  • Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
  • Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
  • Maternity and parental leave top-up coverage, as well as new parent paid time off.
  • Focus on learning and growth for all employees - learning and development budget & lunch and learns.
  • Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.
If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.
*This posting reflects a current vacancy.
We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $115,000 - 135,000, and reflects Cambridge, USA-based roles.
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.

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