BBRC - Lead - IPS

JOB DESCRIPTION

Designation: LEAD
Job Location: Bangalore
Department: TRANSLATIONAL MEDICINE

About Syngene

Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene' s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation.

Job Purpose 

Provide strategic and technical leadership to build and manage a world-class bioinformatics team.  They will work closely with key stakeholders across Translational Medicine teams to identify the highest priority scientific questions and devise experiments and strategies to address them.  

Key Responsibilities:  

•    Strategic and technical leadership of a world class innovative computational research org.

•    Line management of 2+ PhD scientists

•    Ability to work across multiple diseases areas including Immunology, Oncology, Hematology and/or Neuroscience

•    Identify and implement state-of-the-art computational methods for data exploration, visualization, analysis, and integration of multi-omic, high-dimensional 

•    Develop and implement computational pipelines to analyze NGS data (WES, WGS, MRD, ctDNA, Methylation) in collaboration with the BMS computational genomics team 

•    Evaluate the performance of existing or new NGS assays (sensitivity, accuracy, concordance) 

•    Interpret quality control data metrics from NGS assays and communicate effectively with the team and the respective stakeholders 

•    Collaborate closely with others on the BMS Informatics & Predictive Sciences and translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data

•    Clearly communicate computational research and findings to other computational scientists, experimentalists, and clinicians across BMS Research sites.

•    Partner with key stakeholders across the company to set and implement bioinformatics strategy

•    Recruit and develop talent

•    Set priorities, balance team workload

•    Communicate effectively to build support for work and align with organization

Educational Qualification: 

•    Ph.D.

Technical Skills: 

•    Hands-on experience with relevant public domain data sets including 1KG, Exac, GnomAD, and TCGA.

•    Fluency with cloud and Linux based high performance compute environments, R/Bioconductor and reproducible research practices.

•    Expertise in algorithmic implementation, statistical programming, and data manipulation, using e.g., R or Python, and contemporary, open-source bioinformatics tools and database structures 

•    Solid grounding in statistical theory and familiarity with recent developments in statistics 

•    Skilled at working with large omics data sets (transcriptomic, genomic, proteomic, and/or epigenomic data)  Understanding of cancer genomics and epi-genomics is required 

•    Proficient with high-performance computing environments like cloud computing (AWS) 

•    Working knowledge of workflow languages for example: CWL or Nextflow 

•    Working knowledge of web frameworks like R Shiny or Django

•    Partner with key stakeholders across the company to set and implement bioinformatics strategy

•    Recruit and develop talent

Behavioral Skills: 

•    Strong problem-solving and collaboration skills, and rigorous and creative thinking 

•    Excellent written and oral communication skills, including an ability to discuss and explain complex ideas    with computational scientists, experimentalists, and clinicians 

•    The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization. 

•    Collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients

•    Communicate effectively to build support for work and align with organization

Experience: 

• Years

Equal Opportunity Employer:

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.