Data Scientist – Computational Biology & Data Platforms

Pharmaceutical
Waltham, US
On-site

Job Description

About the Company

We are seeking a Data Scientist with a strong computational biology and data platform background to design and build scalable data infrastructure and visualization tools for complex biological datasets. This role focuses on enabling scientists to easily access, explore, and derive insights from multimodal data without requiring deep computational expertise.

About the Role

You will work on building data pipelines, managing databases, developing interactive dashboards, and deploying AI-powered tools that support data exploration and decision-making. The role also involves working with cloud platforms and setting up infrastructure for AI applications. A key part of this role is translating complex technical systems into simple, user-friendly solutions and enabling researchers through documentation and training.

Responsibilities

  • Design and manage data infrastructure and pipelines for biological datasets
  • Work with SQL/relational databases and API integrations
  • Build interactive dashboards/tools (Streamlit, Dash, Plotly, Shiny)
  • Develop and deploy AI-driven data exploration tools
  • Manage cloud infrastructure (AWS/Azure/GCP) and deployment pipelines
  • Ensure scalability, performance, and data accessibility
  • Create documentation and enable non-technical users

Qualifications

  • Data Science / Computational Biology / Bioinformatics
  • SQL / Relational Databases
  • Genomics / RNA-seq / Proteomics / Sequencing data
  • Streamlit / Dash / Plotly / Shiny
  • Cloud (AWS / Azure / GCP)
  • Docker / Kubernetes
  • Data Pipelines / APIs

Required Skills

  • Data Science / Computational Biology / Bioinformatics
  • SQL / Relational Databases
  • Genomics / RNA-seq / Proteomics / Sequencing data
  • Streamlit / Dash / Plotly / Shiny
  • Cloud (AWS / Azure / GCP)
  • Docker / Kubernetes
  • Data Pipelines / APIs

Preferred Skills

  • Experience in pharma / biotech / healthcare
  • AI/ML or AI agents / LLM exposure
  • MLOps / deployment pipelines
  • Version control (Git)

Pay range and compensation package

Mid-Level (3–5 years)

Contract (12 months)

Skills & Requirements

Technical Skills

Data scienceComputational biologyBioinformaticsSqlRelational databasesGenomicsRna-seqProteomicsSequencing dataStreamlitDashPlotlyShinyCloud (aws / azure / gcp)DockerKubernetesData pipelinesApisData scienceComputational biologyBioinformaticsCloudDockerKubernetesData pipelinesApis

Employment Type

CONTRACT

Level

mid

Posted

4/30/2026

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