Company Summary:

Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs. 

The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS).

Position Summary:

We are seeking a mid-level Platform Engineer to help build, operate, and improve the cloud infrastructure that underpins our genomics-first drug discovery platform.

This varied and challenging role is suited to someone with solid cloud and DevOps foundations who enjoys solving real-world problems and continuously improving systems. Working within the Data Infrastructure team, you will collaborate closely with biologists, informaticians, and software engineers to support data pipelines, applications, and AI/ML workflows used across the company.

You will take ownership of meaningful parts of the platform while continuing to grow your skills across cloud architecture, security, and data-intensive systems. This role offers exposure to complex scientific workloads and the opportunity to shape how a modern biotech platform is built.

This role is based at the Chesterford Research Campus (vicinity of Cambridge) and reports to the Head of Data Engineering. Applicants require permission to work in the UK.

Key Responsibilities:

• Operate and improve our AWS-based platform across development and production environments.
• Build and maintain infrastructure-as-code (primarily CDK) for provisioning and managing cloud resources.
• Contribute to CI/CD pipelines and automation used across engineering teams.
• Support and optimise our use of AWS services such as EC2, S3, Lambda, Batch, ECS/EKS, and RDS.
• Improve observability through logging, monitoring, alerting, and cost visibility.
• Troubleshoot issues across infrastructure, pipelines, and applications, working closely with engineers and scientists.
• Collaborate with non-cloud experts to understand requirements and translate them into practical solutions.
• Contribute to improving security practices (IAM, access control, auditing) and overall platform reliability.

Requirements:

We are looking for someone who combines practical experience with strong learning ability and problem-solving skills.

• ~2–5 years of experience working with AWS cloud infrastructure.
• Experience writing code or scripts (Python, Bash, or similar) in a production or project setting.
• Hands-on experience with infrastructure-as-code (CDK, Terraform, or CloudFormation).
• Experience with CI/CD pipelines, containerisation, and modern software engineering practices.
• Working knowledge of core cloud services (compute, storage, networking, IAM).
• Experience troubleshooting and improving production systems.
• Strong problem-solving skills and ability to work through unfamiliar challenges.
• Good communication skills and ability to work with engineers, scientists, and other stakeholders.
• Familiarity with some of the following: Observability tooling (CloudWatch, Grafana). Cloud security best practices. Managing large datasets. Data pipelines or data engineering workflows. Scientific/imaging/analytical workloads. Genomics, biology, or data-driven science.

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity 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 Change the World list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company annual list of the World Most Innovative Companies. Learn more about Flagship https://url.us.m.mimecastprotect.com/s/xLXBCqxk3LTk9pwcZf3CEkjif?domain=flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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.

Company Summary:

We are building a new venture, FL122, pioneering genomic technologies at the intersection of human health and assisted reproduction. The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Tessera Therapeutics, and Quotient Therapeutics. We are an equal opportunity employer.

Position Summary:

We are seeking a first Computational Genomics hire, who will conduct crucial research that will form the basis of the company’s scientific platform. As an early stage hire, you will operate with significant ownership, shaping analytical strategy from first principals, intersecting the fields of genomics, statistical genetics and statistical modeling. The role includes responsibility of the end-to-end delivery of computational research projects, including project design, implementation, interpretation and reporting results to senior leadership. We are looking for someone who is resourceful, is open to a rapidly changing, agile environment and has bias to action. The ideal candidate combines deep technical rigor with a growth mindset, pays attention to detail, and has a deep-rooted desire to achieve excellence. Being collaborative is key – the environment is an early stage startup, where all members of the team need to work closely together to break new ground in science.

Key Responsibilities:

• Deliver computational research projects with a high degree of autonomy, including project design, implementation, interpretation and reporting results to senior leadership
• Collaborate with cloud engineers to set up the required infrastructure to process and store genomics datasets
• Integrate multiple NGS data types into coherent analyses, going from raw input files to variant calls and higher level analyses
• Develop probabilistic and Bayesian models that rigorously incorporate priors, uncertainty, and missing data to inform decision-making
• Interact with external advisors, leveraging their inputs and building high-quality relationships

Requirements:

• Ph.D. in biology, statistics, genetics, computational biology or a related quantitative discipline with 5+ years of relevant post-academic or industry experience with an excellent research track record
• Deep expertise in the analysis of genomics data derived from Illumina sequencing platforms (expertise with additional sequencing technologies is a plus)
• Experience processing next-generation sequencing data end-to-end, from raw reads through alignment, QC, and variant calling
• Experience integrating and jointly analyzing multi-modal sequencing datasets, including DNA and RNA
• Expertise in statistical genetics, computing polygenic risk scores using published methods and adapting or extending these methods for novel applications
• Expertise in building probabilistic statistical models that explicitly account for uncertainty, prior information, and incomplete observations
• Comfort operating in fast-moving, ambiguous startup environments with high ownership and accountability

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

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 $146,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL122 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL122's good faith estimate as of the date of publication and may be modified in the future.

Vesalius Therapeutics is seeking a computational biologist with 5+ years of experience in high-dimensional data analysis to join our team. You will report to the Head of Data Science and develop and apply state-of-the-art statistical methods to deliver actionable insights from our population scale iPSC-based high-throughput phenotyping platform. You will bring a solid foundation in applied statistics; high-performance, scalable, and reproducible scientific code; and molecular, cell, or tissue biology. You will serve also as a subject matter expert on statistical analysis and software development, mentoring junior data scientists and advising stem cell scientists and biologists. You will work both independently and in matrixed teams with stem cell scientists, biologists, statistical geneticists, and machine learning scientists. This is the opportunity to redefine common diseases using genetic and phenotypic data at an unprecedented scale and make critical advances in developing new therapeutics to address unmet need!

What You’ll Do:

• Deliver biological insights into cellular networks, patient biomarkers, and iPSC-based physiological models and champion decisions and next steps
• Write and deploy high-performance code/pipelines for large-scale computation
• Identify relevant external data sets and new opportunities/needs for internal data generation
• Integrate closely with stem cell and biology teams on experimental design, hypothesis generation, and data analysis
• Provide technical expertise and mentorship on statistics and computation to junior data scientists and stem cell and biology teams
• Communicate to both technical and non-technical audiences clearly both orally and in writing

What You’ll Bring:

• PhD. in Statistics, Biostatistics, Computer Science, or Mathematics
• 5+ years of industry experience analyzing high-dimensional datasets
• Knowledge of quantitative genetics in human or model organisms a plus
• Demonstrated expertise in computation and biology supported by publications or presentations
• Demonstrated proficiency in a relevant programming language (Python, R, etc.) supported by a public Github repository
• Experience developing novel models, algorithms, or software implementations a plus
• Strong communication skills in writing and speaking

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

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 $146,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Vesalius Therapeutics currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Vesalius Therapeutics's good faith estimate as of the date of publication and may be modified in the future.

Position Summary

We are seeking a Scientist to join a dynamic team applying computational and data-driven approaches to design novel antigens and evaluate vaccine responses. At Apriori Bio, we have built our biology-enabled AI/ML platform Octavia™ to map viral fitness landscapes, predict immune escape trajectories, and design vaccines to elicit an optimal protective response to future challenges. The successful candidate will contribute to the development and application of computational methods—including structural modeling, machine learning, and statistical inference— that build on Octavia™ insights to support the company’s vaccine design efforts. Experience working with protein engineering and immunological datasets is valuable, as is interest or training in high-throughput functional genomics, virology, or vaccinology.

The Scientist will work closely with both computational and experimental colleagues to interpret results, generate hypotheses, and support antigen design. This role is ideal for scientists eager for a unique opportunity to learn and innovate within an interdisciplinary, fast-paced startup environment.

Key Responsibilities

• Use high-dimensional datasets (e.g., mutational scanning, NGS-based phenotypic screens) and computational approaches—including structural modeling, sequence analysis, and machine learning—to support antigen and immunogen engineering
• Apply and refine computational models that integrate screening data with structural and sequence-based features to guide biomolecule engineering
• Generate hypotheses and design analyses that inform evaluation of novel immunization strategies (in partnership with experimental teams)
• Identify, evaluate, and curate external datasets relevant to vaccine design and antigen optimization
• Develop reproducible computational tools and pipelines for data-driven product design that can be integrated into broader platform workflows
• Collaborate with engineers, computational scientists, and experimentalists to execute project goals and ensure smooth integration of computational findings
• Work with immunology and characterization teams to interpret vaccine immunogenicity using next-generation immune monitoring and antibody profiling tools
• Clearly communicate results and insights to colleagues across scientific and cross-functional teams
• Tackle difficult scientific problems with creativity and resilience while iterating quickly as new data emerges
• Take ownership of complex, open-ended scientific questions, driving analyses forward through ambiguity while balancing speed, rigor, and collaborative problem-solving

Basic Qualifications

• Ph.D. in bioengineering, immunology, computational biology, or a related field (or equivalent research experience)
• Experience applying data-driven protein engineering methods to predict and affect protein function, including structural and sequence-based machine-learning approaches
• Experience or training in antigen design leveraging vaccine immune response readouts
• Solid statistical and quantitative foundation, with the ability to translate complex biological datasets into actionable insights
• Strong scientific programming skills (Python preferred) and familiarity with best practices in reproducible scientific computing
• Experience working with high-throughput biological data or NGS-based assays, including modeling and statistical analysis
• Experience using version control and collaborative coding workflows

Preferred Qualifications

• Experience in vaccine design
• Experience with deep learning approaches
• Exposure to antibody characterization, immune profiling, or immune repertoire analyses
• Experience with NGS data pipelines, from processing to interpretation
• Familiarity with cloud or distributed computing environments
• Familiarity with storage, analysis and transformation of large tabular datasets and relational databases
• Laboratory experience in molecular biology, biochemistry, or immunology (a plus, not required)

About Flagship

Flagship Pioneering is a biotechnology 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, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, 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. 

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. Apriori Bio, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Apriori Bio, Inc.'s good faith estimate as of the date of publication and may be modified in the future.