Johnson & Johnson Careers
Director, Data Sciences - World Without Disease Accelerator
Requisition ID: 9731190319
With the convergence of genomic sequencing, electronic medical records (EMR), digital health and cloud computing, we can finally measure the genetic, clinical and environmental contributors to disease. We have more data than ever before, however very few organizations have the ability capture these data within a single patient population. Even fewer organizations have the interdisciplinary expertise required to extract the valuable insights across these integrated datasets.
Johnson & Johnson is one of the few global healthcare organizations with a history of leadership in the device, pharmaceutical and consumer healthcare sectors. Here at World Without Disease Accelerator (WWDA) within Johnson & Johnson, we believe that the convergence of the capabilities above will eventually allow providers to detect and intercept disease before the earliest clinical symptoms manifest. We are building a team of data scientists who share this view and are passionate about applying state of the techniques to analyze diverse -omics, EMR, device, and clinical data.
The Director Data Sciences will lead a distributed team of genomics researchers and data scientists who are embedded alongside the therapeutic area scientists. She/he will be a key member of the Data Sciences & Prevention Biomarker (DSPB) leadership team. Working alongside his/her scientific peers this individual will help to shape and execute on the DSPB portfolio in the pursuit of prevention, interception, and the cure of disease. He/she will have experience leading interdisciplinary teams and gaining support from executive leadership for the use complex analytics to answer biological questions. As a member of the global Data Sciences and Predictive Biomarkers team, you will join a collaborative, international team of scientists and proactively contribute your experience and expertise to achieving the WWDA vision.
- Define and execute on a computational biology strategy and portfolio to support the Lung Cancer Initiative (LCI) and World Without Disease Accelerator (WWDA) strategies to prevent, intercept and//or cure disease.
- Collaborate closely with your scientific peers across the WWDA and LCI disease areas to shape the DSPB portfolio and identify new opportunities where the application of data sciences can drive the WWDA vision forward.
- Use your expertise and experience to oversee and guide the design and execution of your team’s analyses and integration of -omic data from clinical studies
- Provide leadership and mentorship to a talented, distributed team of data scientists who are embedded alongside their scientific counterparts
- Develop a strategy for data sciences collaborations (internal and external) in support of the WWDA and LCI portfolios:
- Proactively engage external researchers and organizations, identifying opportunities to collaboratively build out data sciences capabilities
- Maintain / extend collaborations with key individuals / institutions who have relevant models / expertise; identify and initiate new collaborations as needed
- Develop network within J&J organization to leverage resources that could benefit DSPB
- Represent the DSPB team in WWDA meetings, external conferences and at meetings with external collaborators
- Keep abreast of scientific literature, emerging approaches and innovations in data sciences, computational biology and bioinformatics.
- Close collaboration with other LCI, World Without Disease (WWDA) colleagues especially the WWDA Therapeutics Platforms team, operations and legal teams
- Scientific interaction with Janssen Research & Development colleagues. In particular, build relationships with relevant Oncology and Immunology TA Discovery teams, and Discovery Sciences/JBIO teams to share learning and collaborate between these groups.
- A minimum of a PhD in Bioinformatics, Biostatistics, Computational Biology, Applied Mathematics, Computer Science, Statistics, Machine Learning, Physics or similar field.
- A minimum of 10-15 years of experience working with multiple, large scale genomic data types (e. g. next generation sequencing, metagenomics, transcriptomics, metabolomics, etc)
- A minimum of 8-10 years of experience leading high-performing teams of genomics and data sciences researchers
- A solid understanding of statistics and data mining of biological data types
- Expertise in Python and/or R
- Experience working in a Linux environment
- Experience working in an Amazon cloud environment
- Self-driven and work well in an interdisciplinary team with minimal direction
- A strong desire to understand why things work the way they do
- Thrive in a fast-paced environment and able to prioritize amongst multiple projects
- Experience with communicating and presenting complex concepts to diverse audiences
- Must be organizationally adaptable, innovative and thrive in high complexity environments to deliver high quality work product in the face of multiple demands
- This position will require up to 30% domestic and international travel and may be based in one of the following locations; New Brunswick, NJ, Raritan , NJ, Titusville, NJ, Spring House, PA or Cambridge, MA.
- Experience analyzing data in one or more of the following therapeutic areas: Type 1 Diabetes, Lung Cancer, Colorectal Cancer or Pediatrics
- Experience analyzing diverse patient cohorts containing clinical, -omics and imaging data
- Expertise in methods pertinent for functional interpretation of -omics data, e. g. pathway enrichment, functional module detection, causal reasoning
- Experience with both relational and no-sql databases
- Experience with machine learning/deep learning techniques
North America-United States-New Jersey-New Brunswick, North America-United States-New Jersey-Raritan, North America-United States-New Jersey-Titusville, North America-United States-Pennsylvania-Spring House
Janssen Research & Development, LLC. (6084)