Job ID:: 26557
Location:: 450 Brookline Ave Boston MA 02215
Category:: IT/Informatics
Employment Type:: Full time
Work Location:: PTL Remote: 2-3 days remote/wk

Overview

The Department of Data Science within the Dana-Farber Cancer Institute is seeking a Lead Bioinformatics Engineer for our Precision Medicine Clinical Trial Matching Platform.

The Lead Bioinformatics Engineer is an exceptional candidate who has deep software engineering experience and cancer bioinformatics expertise. Candidates must have prior experience building data pipelines and web applications utilizing genomics data. This is an exciting opportunity that will impact thousands of patients across Dana-Farber and we need a creative leader who can help us drive precision oncology forward. Our trial matching platform is also evolving into a real-time AI/machine learning platform and this is your opportunity to engineer a modern real-time machine learning (ML) application that impacts real patients.

Located in Boston and the surrounding communities Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer HIV/AIDS and related diseases. We strive to create an inclusive diverse and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment we educate tomorrow's physician/researchers and we work with amazing partners including other Harvard Medical School-affiliated hospitals.

Responsibilities

Develop and maintain Python software modules developed via best practices including unit testing automated build processes and code reviews.
Design develop and maintain Application Programming Interfaces (APIs) microservices and asynchronous queuing systems.
Create pipelines for extracting and loading data from a diverse set of enterprise data warehouses (EDWs).
Engineer new machine learning (ML) services for deployment in a clinical setting.
Develop and maintain services within modern devops frameworks.
Coordinate engineering work with multiple matrixed departments each of which provide APIs and clinical data services.
Participate in Scrum practices and sprint designs.

Qualifications

Bachelor's or Masters Degree in Computer Science Bioinformatics Computational Biology or a related field.
Prior experience building web applications focussed on genomics data.
5+ years of software engineering with at least 2 years of bioinformatics engineers in an academic or industry setting.
1+ years experience mentoring or managing software engineers.
Expert knowledge of Python.
Experience in modern software development technologies including distributed versioning systems continuous integration and Agile programming practices.
Expert knowledge of relational and non-relational databases including MongoDB.
Demonstrated ability to communicate and present technical ideas and plans to non-technical stakeholders.
Experience with AI / ML engineering and devops is a significant bonus.
Front-end coding experience e.g. in React/Angular is a bonus.

At Dana-Farber Cancer Institute we work every day to create an innovative caring and inclusive environment where every patient family and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals neither do we. If working in this kind of organization inspires you we encourage you to apply.

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