Scientist, Computational Sensing
- Location
- Cambridge, MA USA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 3+ years
- Education
- Master's degree
- Listed
- 30 days ago
Skills & highlights for this role
- Python
- statistical modeling
- signal processing
- machine learning
Also useful
- nanopore technologies
- electrophysiology
- deep learning
- probabilistic modeling
Position Overview
We are looking for a Bioinformatics Scientist to join our Computational Team to help build the analytical foundation that connects nanopore measurements to biological understanding. This role sits at the intersection of biology, physics, signal processing, and machine learning - you will work directly with experimental scientists and engineers to develop methods that transform complex biological measurements into actionable scientific insight.
This role requires creating and implementing standard pipeline, and goes beyond them. Here, you will build fundamental approaches to understanding and processing electronic data into an interpretable format and create methods to transform that data into actionable sequencing outputs. The problems are open-ended, and many of the analytical frameworks don't exist yet. The right person enjoys working with noisy experimental data, building quantitative models from first principles, and collaborating across disciplines.
What You Will Do
- Analyze nanopore and electrophysiology datasets to identify biologically meaningful signal features.
- Develop and implement computational workflows for event detection, classification, and molecular fingerprinting.
- Build quantitative models that connect nanopore measurements to molecular identity, structure, and function.
- Collaborate with experimental scientists to interpret results and shape the direction of future experiments.
- Partner with protein science, signal processing, and machine learning teams to improve platform performance and analytical capabilities.
- Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales.
Qualifications
Required
- Master's degree plus 3+ years of relevant industry experience, or PhD in Computational Biology, Biophysics, Bioengineering, Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative discipline.
- Strong programming skills in Python and scientific computing environments.
- Experience analyzing complex biological, physical, or time-series datasets - particularly in the presence of noise and experimental variability.
- Solid background in at least two of: statistics, machine learning, signal processing, or Bayesian modeling.
- Comfortable working across experimental and computational domains; able to engage meaningfully with wet-lab scientists on data interpretation.
- Clear scientific communicator - written and verbal.
Preferred
- Hands-on experience with nanopore technologies, electrophysiology, or single-molecule measurement platforms.
- Experience applying deep learning or probabilistic modeling to biological or physical datasets.
- Background in computational biophysics or time-series analysis of high-dimensional biological signals.
About Tilde (FL110)
Tilde Bio, Inc. (FL110) is building a next-generation biological sensing platform at the intersection of synthetic biology, protein engineering, nanopore biophysics, electrophysiology, signal processing, and machine learning. Our goal is to create programmable biological measurement systems capable of extracting rich molecular information from single-molecule interactions.
We believe nanopores generate a high-dimensional measurement of molecular identity and behavior that remains largely untapped. Unlocking that information requires new computational approaches - ones that don't yet exist - built by people who are comfortable working at the edge of what's known. At Tilde, you will work alongside scientists and engineers from diverse disciplines to help define how a new generation of biological sensing systems extract meaning from the physical world.
Tilde is backed by Flagship Pioneering, which brings the long-term vision and resources needed to build platforms that don't fit neatly into existing categories.
About Flagship Pioneering
Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value.
Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE's "Change the World" list, and has been twice named to Fast Company's annual list of the World's Most Innovative Companies.
At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.
The salary range for this role is $115,000 - $165,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL110 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL110's good faith estimate as of the date of publication and may be modified in the future.
Equal opportunity and legal notices
When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations.
Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information.
If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact.
Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
From Flagship Pioneering's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Scientist, Computational Sensing job at Flagship Pioneering located?
This Scientist, Computational Sensing position at Flagship Pioneering is located in Cambridge, MA USA (On-site). Always check Flagship Pioneering's application page for specific state eligibility or relocation policies.
What qualifications are required for Scientist, Computational Sensing at Flagship Pioneering?
For the Scientist, Computational Sensing role, Flagship Pioneering highlights 3+ years of relevant experience; a master's degree; experience with Python, statistical modeling, signal processing, machine learning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Scientist, Computational Sensing position at Flagship Pioneering?
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