Scientist - Editing & Genomics Data

US: Boston MA Lilly Seaport Innovation Center

Eli Lilly and Company

Lilly is a medicine company turning science into healing to make life better for people around the world.

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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

$70,500 - $200,200

Data Scientist, Editing and Genomics

Eli Lilly and Company is seeking a Data Scientist to join our team in Boston, MA.

Come join the rapidly expanding Editing & Genomics team at Eli Lilly! We are responsible for inventing, characterizing, and advancing novel genome editing reagents for a myriad of clinical applications. Our team works cross-functionally within our organization across multiple disease areas and platforms. Our goal is to deliver on the promise of gene editing to patients around the world.

Job Responsibilities:

  • Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets for inhouse data. 
  • Conduct exploratory data analysis (EDA) to identify trends and patterns.
  • Work in a matrix team of bioinformaticians and other data scientists to develop and implement machine learning models.
  • Create visualizations and reports to communicate findings to stakeholders.
  • Participate in code reviews and contribute to best practices in data science.
  • Stay updated with the latest tools and techniques in data science and analytics.

Basic Qualifications:

  • Bachelor’s/Master’s degree in computer science, bioinformatics, or related field.

Additional Skills/Preferences:

  • Understanding of NGS technology, and downstream-omics data analysis (RNAseq, ATACseq, ChIPseq, etc)
  • Expert working knowledge in either Python or R
  • Experience working in a Linux HPC environment and cloud-computing platforms (e.g., AWS)
  • Familiarity with electronic laboratory notebooks (e.g., Benchling)

Additional Information:

  • This role may require up to 10-15% travel for conferences or training

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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Category: Data Science Jobs

Tags: AWS Bioinformatics Computer Science Data analysis EDA HPC Linux Machine Learning ML models Python R

Perks/benefits: Career development Conferences Flex hours Flex vacation Health care Insurance Medical leave Salary bonus

Region: North America
Country: United States

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