Computational Biologist - Scientific Operations/Customer Success
We are seeking a highly skilled and customer-focused Computational Biologist to join our team and play a pivotal role in the success of our scientific collaboration and service project customers. This position blends cutting-edge computational biology with direct client engagement - from executing spatial transcriptomics service projects to troubleshooting pipelines and delivering clear, impactful results.
About Stellaromics Inc.
Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and located in Boston, MA. Our pioneering proprietary technology helps researchers and clinicians create comprehensive cellular maps enhancing our understanding of various diseases, with our flagship product STARmap and upcoming Pyxa™ suite of products. We have a passionate management team and committed investors who believe in our patented technology and overall mission to profoundly advance biomedical research and accelerate the discovery of life-saving treatments.Along with the excitement and opportunities that come with starting at a revolutionary, mission-driven organization from the beginning, Stellaromics salaries and benefits are competitive in the industry. Expect strong medical, dental, and vision coverage, generous paid time off, wellness and communications allowances, team building opportunities, and more.Come join us!
Description
Who We Are:
Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and located in Boston, MA. Our pioneering proprietary technology helps researchers and clinicians create comprehensive cellular maps enhancing our understanding of various diseases, with our flagship product STARmap and upcoming Pyxa™ suite of products. We have a passionate management team and committed investors who believe in our patented technology and overall mission to profoundly advance biomedical research and accelerate the discovery of life-saving treatments.
About the Role
The ideal candidate will have a strong background in image analysis, machine learning, and data pipeline optimization, combined with exceptional communication skills to guide customers through complex datasets. You will work closely with our internal teams to ensure every project delivers actionable insights, and you will be a key driver of customer success with our STARmap assay on the Pyxa instrument.
We welcome candidates with Bachelor's, Master's, or Ph.D. degrees in computational or quantitative biology-related fields.
Key Responsibilities:
Customer Project Execution & Reporting
- Lead the computational execution of image analysis and spatial transcriptomics service projects for pharmaceutical, biotech, and academic collaborators.
- Prepare detailed, high-quality reports for customers, explaining results, methods, and interpretations in clear and actionable language.
- Serve as the primary point of contact for assigned projects, managing timelines and ensuring client expectations are exceeded.
Pipeline Development & Troubleshooting
- Develop and optimize analysis pipelines for new tissue types for the STARmap assay on the Pyxa instrument.
- Build rapid-debugging tools to identify and resolve pipeline performance issues quickly.
- Collaborate with assay development and software teams to implement pipeline improvements based on customer feedback and performance metrics.
Technical Excellence & Innovation
- Apply advanced image analysis, statistical modeling, and machine learning approaches to spatial transcriptomics datasets.
- Stay current with developments in image analysis, spatial biology, and AI/ML to integrate state-of-the-art methods into production pipelines.
- Contribute to knowledge sharing across the team through documentation, reusable code, and training materials.
Qualifications:
- Bachelor's, Master's, or Ph.D. in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, or related field.
- 2-5 years (industry or postdoctoral) experience in image analysis, spatial transcriptomics/genomics, and machine learning.
- Strong programming skills in Python and R with expertise in packages such as scikit-image, scikit-learn, TensorFlow, or PyTorch.
- Proven track record in developing, maintaining, and troubleshooting computational analysis pipelines.
- Experience communicating technical findings to both technical and non-technical stakeholders, particularly in a customer-facing context.
- Familiarity with high-performance and/or cloud computing environments.
- Passion for enabling scientific discovery through a combination of computational rigor and outstanding customer engagement.
- GitHub profile, code samples, or portfolio showcasing relevant work is highly encouraged.
Why Join Stellaromics?
- Opportunity to work with a passionate and innovative team in a growing company.
- Competitive salary and benefits package.
- Professional development and career growth opportunities.
- Collaborative and dynamic work environment.
Compensation:
An attractive compensation and benefits package based on market pay data will be commensurate with candidate skills, qualifications, and experience.
If you are interested in becoming part of a growing team energized by limitless possibilities, please submit your resume for consideration. To learn more about Stellaromics and our technology, please visit our website at [click to reveal website link].
Stellaromics is an Equal Opportunity Employer striving to build an inclusive and diverse workplace culture.
Salary
$130,000 - $165,000 per year