Senior Director, Head of Computational Sciences

Posted 10 Days Ago
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Cambridge, MA, USA
In-Office
223K-294K Annually
Senior level
Biotech
The Role
Lead and build a computational sciences team to develop algorithms, ML models, and scalable data infrastructure for nanopore-based protein reading. Partner with experimental teams to design analyses, implement ML pipelines, manage cloud infrastructure, establish reproducible data practices, protect IP, and communicate progress to leadership and external partners.
Summary Generated by Built In
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.

Position Summary

We are looking for a visionary, hands-on computational leader to build-out and lead Tilde's computational sciences. This person will own the algorithms, models, and data infrastructure that sit at the heart of our nanopore-based protein reading platform — from raw signal processing through to protein identification and quantification.

The role is cross-functional by design. You will be embedded in the science, working directly with nanopore scientists, protein engineers, and the technology development team to turn experimental data into platform insight. At the same time, you will be building a team and shaping a longer-term computational roadmap.

The right candidate has strong technical depth in machine learning and computational biology, has led teams before, and is comfortable operating in an environment where the science is still being defined.

Key Responsibilities

Computational Strategy & Platform Vision

  • Set the computational sciences strategy and roadmap, working with the leadership team to align priorities with where the platform needs to go.
  • Build the computational sciences team — recruiting, mentoring, and creating an environment where scientists do their best work and remain current on latest developments in their field.

Computational Sciences Research

  • Lead development of algorithms and models for processing, decoding, and interpreting signals from Tilde's nanopore-based protein reading platform.
  • Work closely with nanopore scientists and hardware engineers to advance a fast-evolving analytical framework.
  • Design and implement ML pipelines for protein identification, classification, and quantification, drawing on multi-modal datasets spanning proteomic, genomic, and platform-generated data.
  • Establish data management practices, versioning standards, and analytical SOPs that support reproducible, scalable science, including creating and maintenance of cloud infrastructure (e.g., AWS) that can handle platform-scale data generation.

Leadership

  • Partner with research, molecular engineering, data science, and technology development — making sure computational capabilities stay integrated with what the experimental teams need.
  • Work with program leads on data generation strategies, experimental designs, and analysis frameworks.
  • Work with external collaborators or consultants, as needed, to accelerate our research productivity.
  • Identify and protect novel computational methods as part of Tilde's IP strategy.
  • Communicate technical progress clearly to leadership and, where relevant, to external partners and investors.
Qualifications

Required

  • PhD in Computational Biology, Bioinformatics, Computer Science, Machine Learning, or a related field.
  • 10+ years of experience in computational biology or a closely related area, with at least 4 years leading a team.
  • Track record of building and developing strong computational teams across different organizations.
  • Strong hands-on ML and programming skills, with fluency in modern data science tooling.
  • Experience with cloud environments (e.g., AWS, GCP) and building scalable data infrastructure.
  • Clear communicator — able to make complex computational work legible to experimental scientists and non-technical stakeholders alike.
  • Comfortable with ambiguity; able to make good decisions and keep teams moving when the problem is still being defined.

Nice to Have

  • Experience with time-series signal analysis from sequencing, electrophysiology, or related sensing platforms.
  • Background in proteomics, single-molecule biophysics, or life science platform technologies.
  • Familiarity with protein structure, function, or engineering.
  • Experience with NGS data analysis and bioinformatics tool development.
  • Prior experience at a venture-backed biotech or life science tools company.
  • History of contributing to IP and scientific publications.
About Flagship Pioneering

Flagship Pioneering is a bio-platform 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. Learn more about Flagship at www.flagshippioneering.com.

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.

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 $223,000 - $294,250. 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.


Privacy Notice for Applicants: 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 [email protected]

Skills Required

  • PhD in Computational Biology, Bioinformatics, Computer Science, Machine Learning, or related field.
  • 10+ years of experience in computational biology or a closely related area with at least 4 years leading a team.
  • Track record of building and developing strong computational teams.
  • Strong hands-on machine learning and programming skills; fluency in modern data science tooling.
  • Experience with cloud environments (e.g., AWS, GCP) and building scalable data infrastructure.
  • Clear communicator able to explain complex computational work to experimental scientists and non-technical stakeholders.
  • Comfortable with ambiguity and able to make decisions when problems are undefined.
  • Experience with time-series signal analysis from sequencing, electrophysiology, or related sensing platforms.
  • Background in proteomics, single-molecule biophysics, or life science platform technologies.
  • Familiarity with protein structure, function, or engineering.
  • Experience with NGS data analysis and bioinformatics tool development.
  • Prior experience at a venture-backed biotech or life science tools company.
  • History of contributing to IP and scientific publications.

Flagship Pioneering Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flagship Pioneering and has not been reviewed or approved by Flagship Pioneering.

  • Fair & Transparent Compensation Feedback suggests salary bands are visible for many Boston/Cambridge roles and pay is considered competitive for key scientific and leadership positions. Transparency in postings supports expectations that offers align with local biotech norms.
  • Healthcare Strength Feedback suggests medical, dental, vision, disability, life insurance, HSA options, and mental-health coverage are comprehensive and well-regarded. Multiple items are employer-verified, reinforcing confidence in core health benefits.
  • Parental & Family Support Feedback suggests maternity/paternity leave and family leave are offered at meaningful levels. These programs sit alongside paid holidays, sick days, and PTO to support family needs.

Flagship Pioneering Insights

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The Company
HQ: Cambridge, MA
475 Employees
Year Founded: 2000

What We Do

Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique, hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. To date, Flagship is backed by >$3 billion of aggregate capital commitments, of which over $1.5 billion has been deployed toward the founding and growth of its pioneering companies alongside >$10 billion of follow-on investments from other institutions. The current Flagship ecosystem includes Denali Therapeutics (NASDAQ: DNLI), Evelo Biosciences (NASDAQ: EVLO), Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Seres Therapeutics (NASDAQ: MCRB), and Syros Pharmaceuticals (NASDAQ: SYRS).

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