Data Scientist at Flagship Pioneering, Inc.

Cambridge, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

165000.0

Posted On

17 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Bioinformatics, Python, High-Throughput Sequencing, Statistical Modeling, Machine Learning, Data Visualization, Collaboration, Immunology, Vaccinology, Cloud Platforms, GitLab, ETL Processes, Protein Engineering, Virology, Viral Phylogenetics

Industry

Biotechnology Research

Description

About the Role At Apriori Bio, we have built our unique technology platform Octavia™ to help survey viral landscapes and improve vaccine design towards increased efficacy and breadth. This role will serve as a critical part of this effort, sitting on the Platform team that develops and builds the key capabilities supporting Octavia. You will partner with our wet-lab scientists as well as our broader computational team to turn our high-throughput immune landscaping data into actionable insights and features for the design of better vaccine candidates. Additionally, you will develop innovative approaches predicting the ability of antigens to evade existing immunity, thus enabling the design of the next generation of variant-resilient vaccines. In this cross-functional role, you will have the opportunity to utilize our in-house and external databases, generate data-driven insights, and contribute to the expansion and refinement of Octavia™. Position Summary Apriori Bio is seeking a Data Scientist with a track record of developing and successfully applying analytical tools to high-throughput sequencing assays. This role is positioned at the interface between the high-throughput biological readouts that power Octavia and the expanding set of platform capabilities enabling the design of better vaccine candidates against infectious disease. Experience in the analysis and interpretation of high-throughput functional and/or genomic assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) is desired. The role requires strong data visualization and communication skills, as well as a proficency in bioinformatics. Technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics is preferable. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment. Core Responsibilities: Execute and manage high-throughput sequencing analysis pipelines Analyze and interpret results of high-throughput experiments, assessing relevance for associated programs and communicating evaluated results to program teams. Collaborate with wet-lab scientists to design experiments for assay development, program advancement, & expansion of the Octavia platform. Collaborate with broader Apriori team to develop and optimize new high-throughput assays to expand the capabilities & impact of Octavia Perform longitudinal data analyses to support experimental decision-making & platform development. Integrate various data sources to engineer useful features for predictive modeling & antigen design. Assist with organizing, extracting, and uploading proprietary experimental information programmatically with Benchling ELN’s SDK. Create clear, user-friendly visualizations to be developed into dashboards and automated workflows. Regularly present platform progress in research and executive team meetings, creating comprehensive reports and slides for widespread communication. Uphold data management integrity and reproducibility through established software engineering best practices. Monitor cutting-edge technologies and models and identify potential collaboration opportunities across the Flagship Ecosystem. Qualifications and Skills: Ph.D. in life sciences or a quantitative field. Proficiency in writing production-standard Python code, especially with packages in the scientific computing ecosystem (NumPy, SciPy, Matplotlib, pandas, etc.). Experience with analyzing and interpreting high-throughput experimental data Solid bioinformatics background with proficiency handling and analyzing sequence data Strong scientific and quantitative acumen, with a demonstrated ability to integrate this acumen into platform & model building Familiarity with collaborative coding using GitLab best practices and commands. General proficiency with cloud platforms, specifically AWS. Demonstrable extensive experience or study in statistical/quantitative modeling & machine learning. Working knowledge of quantitative data pipelines, including workflow orchestration, ETL processes, quality control management, and reporting. Knowledge in at least one ML framework (PyTorch/TensorFlow/Jax). Effective working in fast-paced, highly collaborative, and matrixed teams. Exceptional communication skills, especially with requirements gathering and data presentation. Preferred Additional Skills: Familiarity with immunology, vaccinology, or infectious disease concepts. Previous experience in a biotech startup. Experience building technology to process high-throughput sequencing (HTS) assays, preferably display-based HTS systems like phage, yeast, and/or mammalian cell surface display. Hands-on experience with Databricks, including cluster management, Unity Catalog–based data workflows, Spark/PySpark, and developing SQL queries/dashboards. Knowledge of anomaly detection methods, structural biology visualizations, and data modeling. Familiarity with cloud native tools such as AWS s3 and ec2. Understanding of DevOps, change management, and technical documentation concepts. Ability to communicate effectively across various platforms, such as Jupyter notebooks, PowerPoint, Teams, and verbal discussions. 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.

Responsibilities

The Data Scientist will execute and manage high-throughput sequencing analysis pipelines and collaborate with wet-lab scientists to design experiments. They will also analyze and interpret results, integrate various data sources, and create visualizations for dashboards.