Data Scientist - Biotech

Staff Data Scientist- Biotech: Boston, MA.

iO Associates are delighted to be supporting this growing biotech organization on the appointment of a Data Scientist in a new headcount role. As a Data Scientist, you will play a crucial role in the development of an innovative platform for advancing the research and development of life-changing medicines. You will have the opportunity to work with a diverse team of data scientists, engineers, and scientists, driven by a shared mission to revolutionize the industry. If you are passionate about leveraging ML and DS to make a meaningful impact on outcomes, we would be keen to hear from you.

Responsibilities:

• Propose, design, and develop ML learning approaches using high-dimensional e-health records and data.


• Design, develop, and support ML pipelines, workbenches, and dashboards to enable users to solve problems.


• Collaborate with multiple stakeholders and cross functional teams to derive user requirements and ensure the relevance and impact of models, analyses, and pipelines.


• Develop well-designed, tested, and documented software packages.


• Be an active team member in code, design, and analysis review.

Requirements:

• Quantitative degree with 7 years of post-degree experience or equivalent.


• Broad experience in ML, including supervised learning, unsupervised learning, dimensionality reduction, clustering, model selection, and feature selection.


• Demonstrated experience with ML on e-health records.


• Proficiency in Python and experience with machine learning and data science packages.


• Experience with MLops methodology, such as workflow orchestration, experiment tracking, containerization, and reproducible research.


• Experience with collaborative software development using source control management, unit testing, code review, and continuous integration/continuous deployment.


• Experience with big data analytics engines and working in cloud environments.


• Experience with statistical methods such as hypothesis testing, longitudinal modeling, and time-to-event analysis.

Preferred Skills:

• Experience with analyzing and interpreting data, such as genomics, proteomics, or metabolomics.


• Familiarity with various types of data integration and data fusion techniques.


• Knowledge of advanced statistical modeling techniques for complex biological or clinical data.


• Understanding of drug discovery and development processes, including target identification, lead optimization, and pre-clinical evaluations.


• Proficiency in data visualization tools and techniques to effectively communicate scientific findings.


• Familiarity with regulatory guidelines and considerations in the pharmaceutical or healthcare industry.


• Experience with cloud-based data storage, computing, and distributed computing frameworks.


• Knowledge of natural language processing (NLP) and text mining techniques applied to biomedical literature and clinical notes.

Get in touch with Edward on

e.hincks @ioassociates.com