Hands-on research experience in transcriptomics and genomics, with additional experience in proteomics and ChIP-seq data preferred. This role is based at our site in the Seaport area in Boston (though can be hybrid) and reports to the Head of Data Science and Engineering.

In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.

Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.

In this role, you will implement rigorous data analysis practices and align resources based on scientific priorities to lead analyses of high-dimensional readouts from longitudinal patient cohorts.

Hands-on experience with genetic-based approaches such as CRISPR and RNA interference is a plus. This individual will collaborate with in vivo biology, translational science, and nonclinical groups to help execute on company strategy.

This Director, Data Architecture & Engineering (DA&E) role is a hands-on position with the expectation that their team will expand over time as new systems are implemented and as the IT operating model evolves.

But none of these work unless we have participants who are willing to answer questions, join focus group zoom meetings or even test products hands-on and provide feedback. Salary: Data Entry Work from Home - Part Time Computer Job.

Contribute to an innovative culture that strives for out-of-the-box thinking and creative approaches on analytical solutions beyond traditional models in the area of data science artificial intelligence, machine learning methods, algorithms/model development, validation and tools to drive impactful business decisions.

Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. D3, AWS, dbt). Our corporate data science, data engineering and product team is looking for a data scientist with experience in Healthcare Real-World Data (RWD), machine learning, statistics, and a real passion for addressing business needs through data analysis and solutions.

Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.

The ideal candidate will have hands-on experience operating, maintaining, troubleshooting, and generating data in the field of mass spectrometry-based proteomics. Hands-on experience with quantitative mass spectrometry assays.

Educate and present complex data science findings to non-technical stakeholders, ensuring clarity and actionable insights. Demonstrated ability to deliver complex data science outputs to senior leadership.

Extensive "hands-on" experience and track record in the use of a wide range of cellular, biochemical, and functional assays and technologies to unravel complex cellular signaling pathways.

1+ years of hands-on experience with RDBMS and healthcare or omics data. BS or MS in bioinformatics, medical informatics, computer science, data science, computational biology, or a related field.

Strong hands-on experience with protein analytics techniques such as SEC-MALS, HIC, DSC/DSF, CE-SDS, and cIEF. Excellent data analysis and interpretation skills, with familiarity using statistical tools and software for data processing (e.g., GraphPad Prism, Spotfire.