Senior Scientist, Data Science

Johnson & Johnson•Spring House, PA

11d•Onsite

About The Position

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position. The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools.

Requirements

The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc.
A Ph.D. in a quantitative field – Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields.
2-3 years of postgraduate scientific experience.
A strong publication record in the relevant areas is required.
Proficient in programming languages such as R/Python, bash, SQL, etc.
Excellent written and oral communication skills, and ability to effectively communicate technical findings with stakeholders.
Ability to work independently and as part of a team.

Nice To Haves

Experience with multi-omics data integration, especially network analysis.
Experience/knowledge of psychiatric conditions such as schizophrenia and bipolar disorder is a plus.
Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred.

Responsibilities

identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities
precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods
on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models
design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications
Conceive, develop, and implement analytical solutions to high-priority scientific projects.
Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network.
Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods.
Publish findings in top-tier journals and conferences.

Benefits

medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours