Staff Engineer - Data Science
- Harvard Medical School
- Location: Boston, MA
- Job Number: 7085699
- Posting Date: Sep 20, 2021
- Application Deadline: Open Until Filled
Job DescriptionAbout Us:
The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the freedom of academia and the focus of industry in order to translate revolutionary technologies into commercial products and solutions. At the Wyss Institute, faculty from premier academic and clinical institutions, collaborate with staff scientists, postdocs, graduate students, industry experts, business development leaders, and entrepreneurs across disciplines to invent and de- risk new technologies that don’t just succeed at making it to the market – they disrupt it. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love challenges. For more information, visit: http://wyss.harvard.edu/
You are a collaborative, impact-focused problem solver who wants to be part of a dynamic team dedicated to creating and commercializing novel approaches to global challenges in healthcare and sustainability. You have a BIG heart, small ego, and an extraordinary curiosity. You are coachable and care deeply about learning, growing and building with your team. You want to be part of a mission- focused and high-performance team, to push the boundaries of what is possible, and to channel your ambition to tackle challenging projects in a fast-paced, industry-focused environment. You are religious about Slack and react with way too many emojis!! You enjoy working with diverse groups of people and leveraging your expertise to create innovations that can change the world.
About the Role:
We are looking for an innovative data scientist with expertise in bioinformatics and software engineering to join our Predictive BioAnalytics team. Reporting to the Lead Staff Scientist, you will collaborate across the Wyss community of faculty, staff scientists/engineers, post-docs, and students to spearhead end-to-end analytics projects for grants (e.g., with the NIH and DARPA) while simultaneously translating these project-specific deliverables into generalizable solutions that are integrated with our new bioinformatic cloud ecosystem.
What you’ll do:
Contribute to a high-performance team culture that is mission-focused, ultra-collaborative, and intellectually engaging in a psychologically safe environment for new ideas and disruptive innovation.
Wear a ‘consultant’ hat collaborating with scientists as a statistical subject matter expert, translate scientific problems into computational solutions, and provide end-to-end data engineering and analytic support through the research process.
Design, write and document high-quality code in multiple languages (R, Python) to drive academic grant objectives and/or help incubate and de-risk projects that may spin out of the institute as start-up companies.
Help develop and support a suite of analytic applications for internal and external collaborators using Shiny, Streamlit and H2O Wave.
Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
What you'll need:
A minimum of two years of post-secondary education and/or work experience in bioinformatics, software engineering, or data science.
Demonstrable experience in programming in at least one high-level language such as R or Python as well as SQL programming and utilization of databases to manage and drive analysis and modeling projects.
Additional Qualifications and Skills
M.S. in STEM related field such as Statistics, Mathematics, Physics, Bioinformatics, Computer Science strongly preferred.
Proficiency using -omics data sets (large and small scale proteomics, transcriptomics, etc) and utilization of publicly available data such as GEO, LINCS, Drugbank, PubMed, ClinicalTrials.gov, etc.
Experience with conventional academic, as well as industry-grade tools including Git, Docker, cloud computing in one of the major vendors (we are an AWS shop but will diversify in the future), Tableau or Looker, RStudio Desktop (nice-to-have: RStudio Connect) and Python IDEs.
Demonstrable experience in academic environment participating in grant-based research and supporting academic publication to top-tier journals.
AWS certifications, and industry DevOps and cloud architecting/engineering experience in AWS.
This position will be based on our campus in Boston, MA and may require some on-campus presence. Subject to business needs, the Wyss Institute generally supports flexible work arrangements.
Harvard will require COVID vaccination for all Harvard community members who will have any on-campus presence. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement and exceptions may be found at the University’s “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/.
Harvard is unable to provide visa sponsorship for this position.
Why you’ll like working with us:
At the Wyss Institute, you’re a member of a supportive, dynamic community that is united by its shared goal of changing the world through groundbreaking technology development and commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well-being through generous time off benefits, gym reimbursements, and other programs offered through Harvard. We value an inclusive and diverse workforce, and believe that our differences enrich the work environment for all.
Our outstanding benefits package includes:
Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 12.5 paid holidays, and 3 paid personal days per year.
Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
Retirement: University-funded retirement plan contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools.
Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services.
Facilities access and Discounts: Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston.
Harvard Medical School strives to cultivate an environment that promotes inclusiveness and collaboration among students, faculty and staff and to create new avenues for discussion that will advance our shared mission to improve the health of people throughout the world.