Associate Director, IT Data Engineer (Remote)

Cambridge, MA, US, MA 02139

Applications have closed

BioNTech SE

We guide you through the promising world of immunotherapies. Find info on basic research and new developments of new treatment options.

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Become a member of the BioNTech Family!

Based in Cambridge, MA and Gaithersburg, MD. We are committed to improving the health of people worldwide with our fundamental research and our work in the area of development of immunotherapies utilizing the full potential of the immune system to fight cancer, infectious diseases and other serious diseases. We believe in scientific rigor, innovation and passion as driving forces. BioNTech was founded by scientists and physicians to translate science into survival by combining fundamental research and operational excellence.

With decades of deep immunology expertise and experience in developing and optimizing mRNA as part of its broad suite of novel technologies, the company is working with the global community to defeat life-threatening and serious diseases such as cancer, COVID-19, malaria and tuberculosis. The first ever approved mRNA vaccine was created in the labs of BioNTech in Mainz, Germany. A fully integrated immunotherapy powerhouse. We remain focused on bringing our broad pipeline of next-generation immunotherapies and vaccines to people around the world to address cancer, infectious diseases, as well as a growing list of other medical conditions. To accomplish this, we continue to be deeply rooted in science and academic research while also having built a fully integrated, global immunotherapy company with cGMP and GMP manufacturing facilities anchored around deep expertise in immunology and complemented by an expanding set of capabilities.
 

 

Associate Director, IT Data Engineer (Remote)

 

BioNTech US is looking for a senior data engineer to develop and maintain data infrastructure and products supporting global R&D use cases as part of BioNTech’s data and analytics platform team. The ideal candidate will have demonstrated data engineering experience in the biotech industry, the initiative to identify problems and introduce solutions, and the interest to mentor team members on best practices.

 

Responsibilities:

  • Develop, maintain, and improve on data pipelines using platforms like Airflow, Spark, and Databricks. Implement and maintain high standards around CICD and testing strategies to ensure data accuracy, completeness, and consistency.
  • Build up and maintain data lake across use case development. Make experience-backed decisions and technical tradeoffs on schema normalization, partitioning, etc. to optimize on query speed, cost, complexity.
  • Identify technical gaps and areas of improvement within the team and company and propose actionable solutions; while having the wisdom to know when, and when not, to push forward a new change.
  • Collaborate with cross-functional teams including research, data science, business intelligence, AI/ML, and IT; understanding use case requirements and building the bridge between data producer and consumer teams in a compliant and scalable way.
  • Provide mentorship to junior team members to help everyone complete tasks according to best practices.

 

Requirements: 

  • Bachelor's degree AND at least 5-10 years of progressively increasing responsibilities building and/or architecting technical solutions
  • Experience in the pharmaceutical or biotech industry is a must (2-3 years)
  • Strong AWS, Airflow, Python, and SQL software development experience with focus on ETL/ELT and related data engineering processes
  • Experience with Databricks and Spark preferred, but not required
  • Demonstrated Lakehouse Architecture experience, including data modeling
  • Experience with DevOps tools and practices (e.g. CI/CD tools like GitHub Actions for automating software development and deployment)
  • Hands-on working style, including the ability to collaborate directly with users to plan and build technical solutions



Benefits for you:
 

BioNTech US is committed to employee wellbeing and offers best-in-class benefits & HR programs to support an inclusive & diverse workforce. Salaried/Position-Targeted Hourly Employees working 30+ hours per week are eligible for our comprehensive benefits package. Benefits include but are not limited to:

  • Medical, Dental and Vision Insurance

  • Life, AD&D, Critical Illness Insurance

  • Pre-tax HSA & FSA, DCRA Spending Accounts

  • Employee Assistance & Concierge Program (EAP) available 24/7

  • Parental and Childbirth Leave & Family Planning Assistance

  • Sitterstream: Virtual Tutoring & Childcare Membership

  • Paid Time Off: Vacation, Sick, Bereavement, Holidays (including Floating) & Year-End U.S. Shutdown.

  • 401(K) Plan with Company Match

  • Tuition Reimbursement & Student Loan Assistance Programs

  • Wellbeing Incentive Platforms & Incentives

  • Professional Development Programs

  • Commuting Allowance and subsidized parking

  • Discounted Home, Auto & Pet Insurance

 

…and more! More details to be shared.


 

BioNTech is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. BioNTech does not tolerate discrimination against employees or applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law.

If you are unable or limited in your ability to use or access BioNTech’s online application tools due to a disability, you can request reasonable accommodations by calling 1-857-228-6231or by e-mailing jobs@biontech.de. Thank you for your interest in BioNTech.

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture AWS Business Intelligence CI/CD Databricks Data pipelines DevOps ELT Engineering ETL GitHub Machine Learning Pharma Pipelines Python R R&D Research Spark SQL Testing

Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Parental leave

Regions: Remote/Anywhere North America
Country: United States
Job stats:  14  1  0

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