Philips Genomics / Bioinformatics Research Scientist in Cambridge, Massachusetts
Bring expertise in genomic analysis of microbial genome data in the field of infectious disease or infection control.
We are seeking an individual to join our Clinical Bioinformatics team. Key areas of responsibility include: Develop/Implement algorithms and software for Next Generation Sequencing analysis of microbial genome data. You will establish custom workflows/pipelines for automated analysis of NGS data and visualization of results. The successful candidate will work in a multidisciplinary environment of computer scientists, bioinformaticists, and clinicians to develop clinically relevant applications of Next Generation Sequencing in Infectious Diseases.
We simplify healthcare by focusing on the people in the care cycle – patients and care providers. Through combining human insights and clinical expertise, we aim to improve patient outcomes while lowering the burden on the healthcare system and providers. Philips delivers advanced solutions to health professionals to meet the needs of patients, and to empowered consumers for affordable healthcare whether in hospital or at home.
We are looking for
The successful candidate brings/has:
PhD in Computer Science, Bioinformatics, Computational Biology or related quantitative field;
Expertise/knowledge in the one or more of following areas: Computational Biology, Bioinformatics, Biostatistics, Genetics, Infectious Disease, and Infection Control;
5+ years’ experience in efficient pipeline/workflow development for large next-generation sequencing data analysis;
Excellent programming skills in Python, Java, C/C++ and R or equivalents, and working knowledge of database technologies (e.g. SQL);
In addition, the following skills and experience would be highly desired:
Alignment, assembly, analysis of microbial genome sequencing data (Bowtie, MIRA, SPAdes, et al)
Metagenomic analysis (SURPI, KRAKEN, LMAT, et al)
Statistical methods/algorithm development for NGS data
Experience with high performance cluster computing queuing systems such as SGE, Torque.
Strong in database system internals, parallel processing, search, algorithms, GPU processing
Clinical experience in infectious disease and infection control domain
Strong communication skills in written and verbal English
Philips is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.
As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.