Bioinformatic Associate Scientist II - Statistical Genetics at Alnylam Pharmaceuticals in Cambridge, Massachusetts

Posted in General Business 13 days ago.

Type: Full-Time

Job Description:

Bioinformatic Associate Scientist II - Statistical Genetics


Alnylam is the world's leading RNA interference (RNAi) company.

Founded in 2002, Alnylam was built upon a bold vision of turning scientific possibility into reality by harnessing the power of RNAi for human health as an innovative new class of medicines. We are a growing biopharmaceutical company with two approved medicines and a robust pipeline of investigational medicines focused in four strategic therapeutic areas: genetic medicines, cardio-metabolic diseases, infectious diseases, and central nervous system (CNS) and ocular diseases, including several in late-stage development.

Headquartered in Cambridge, Mass., Alnylam employs over 1,400 people in 19 countries and is rapidly growing globally, with additional offices in Norton, Mass., Maidenhead, U.K., Zug, Switzerland, Amsterdam, Netherlands, and Tokyo, Japan. Alnylam is proud to have been recognized as one of The Boston Globe's Top Places to Work five years in a row (2015-2019), a Great Place to Work in the U.K. and Switzerland in 2020 and Science Magazine's #1 Top Employer in 2019. Please visit for more information.
Alnylam was founded in 2002 on a revolutionary vision and bold mission which remain firmly in place today. We are leading the translation of RNA interference (RNAi) into a new class of innovative medicines with the potential to transform the lives of people with rare genetic, cardio-metabolic, hepatic infectious, and central nervous system diseases with unmet need. Our first medicine, the first-ever RNAi therapeutic, has recently been approved by the FDA in the US for the treatment of the polyneuropathy of hereditary transthyretin-mediated amyloidosis in adults and by the European Medicines Agency in the EU for the treatment of hATTR amyloidosis in adults with stage 1 or stage 2 polyneuropathy. In addition, Alnylam has four investigational medicines in late-stage development. Alnylam is proud to have been recognized as one of The Boston Globe's Top Places to Work in 2015-2019!

The research department at Alnylam is seeking a highly motivated candidate with an interest in bioinformatics, computational biology or a related discipline to join our statistical genetics team and contribute to our efforts to apply genetics to multiple aspects of drug discovery and development. Alnylam entered into a collaboration which allows us to access whole exome sequencing and phenotypic data from a large population cohort (UK Biobank). In addition, we are conducting stand-alone genome-wide association studies to gain insights into diseases and gene targets of interest. This is an exciting opportunity to transform insights from human genetics into new opportunities to help patients that have limited treatment options today. The successful candidate will be part of a team conducting in-depth analyses of human genetic data to 1) fuel our efforts to identify novel drug targets in important disease areas and 2) gain biological insights into targets and drugs we are already pursuing that will enhance the development path of our medicines and enable us to reach more patients.
Summary of Key Responsibilities

  • Contribute to creation and maintenance of an analytical pipeline that allows the systematic analysis of a large (>500K participant) genotype-phenotype dataset
  • Identify or prioritize therapeutic targets through the computational analysis of large-scale genetic data for multiple indications of interest
  • Contribute to the implementation of new statistical tools for large-scale genetic data analysis, including machine learning algorithms
  • Aid in efforts to integrate additional "omics" datasets with existing genotype-phenotype information
  • Run genome-wide and phenome-wide association analyses to contribute insights to drug development efforts
  • Work collaboratively within a diverse team of biologists, geneticists, and disease experts

  • Masters or equivalent in bioinformatics, statistical genetics or related field
  • Experience using the R programming language
  • Experience in statistical genetics and working with large genotype-phenotype datasets
  • Experience in machine learning preferred but not required

Alnylam Pharmaceuticals is an EEO employer committed to an exciting, diverse, and enriching work environment.