Computational Statistician

Programming experience in at least one language (Python, R, MATLAB, C++) with knowledge of machine learning libraries

The Advanced Artificial Intelligence Research Laboratory at WuXi NextCODE is seeking a highly motivated statistician, engineer, or data scientist to help pioneer the use of machine-learning/deep-learning in genomics. The candidate will use machine-learning/deep-learning and statistical approaches to analyze various genomics data sets to better understand disease etiology, identify novel drug targets, and discover biomarkers to be used in precision medicine.

Minimum Qualifications:

  • M.S. in Engineering, Bioinformatics, Statistics, Computer Science, or another related field with a minimum of 2-years of related industry or academic experience

-or-

  • Ph.D. in Engineering, Bioinformatics, Statistics, Computer Science, or another related field
  • Basic knowledge of statistics (both Bayesian and non-Bayesian), machine learning, and data analysis
  • Programming experience in at least one language (Python, R, MATLAB, C++) with knowledge of machine learning libraries
  • Strong communication and presentation skills with the ability to translate and communicate complex results to individuals of diverse backgrounds
  • Team oriented and highly collaborative (with both our academic and industry partners) with strong organizational and communication skills

Preferred Qualifications:

  • M.S. in Engineering, Bioinformatics, Statistics, Computer Science, or another related field with 6-years of related industry or academic experience

-or-

  • Ph.D. in Engineering, Bioinformatics, Statistics, Computer Science, or another related field with 3-years of related industry or academic experience
  • Advanced programming skills with fluency in at least Python or R, with extensive experience using modern machine learning and deep learning libraries (TensorFlow, PyTorch, Edward, sklearn, caret, etc.)
  • Proven ability to design and code production grade machine learning and deep learning applications, along with a strong ability to visualize ‘big-data’
  • Ability to manage cloud computing environments (e.g. AWS) with experience working with GPUs
  • Understanding of modern genomics analysis including RNA-seq, single cell RNA-seq, DNA methylation, variant analysis, etc.
  • Working knowledge of biology (oncology, immunology, autoimmunity, etc.) and target identification
  • Knowledge of publicly available genomics databases (i.e. ENCODE, GEO, TCGA, CCLA)
  • Up-to-date knowledge of the fast moving machine-learning/deep-learning literature
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EEO Policy Statement: It is the policy of WuXi NextCODE 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 federal, state or local law. In addition, WuXi NextCODE will provide reasonable accommodations for qualified individuals with disabilities.

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Improving Lives Through Genomics

WuXi NextCODE is a global genomic data and insights company with operations in Kendall Square, Cambridge, Massachusetts, and in Dublin, Reykjavik and Shanghai.

We serve the world’s leading life sciences companies including biotechnology, pharmaceutical companies and medical research centers. Our partners all use insights from genomic data to improve health. Our capabilities include providing access to population-scale patient cohorts for research, next generation sequencing (NGS) CLIA/CAP GCP labs globally, and a team of the world’s leading A.I. and genomic analysis experts and technologies for organizing, mining and sharing genomic and disease biology data.


Employee Benefits include:

Medical, Dental, and Vision Insurance

Life / Accidental Death & Dismemberment Insurance

Short and Long Term Disability Insurance

Pet Insurance, Legal Insurance

Flexible Spending Account (FSA)

Generous 401(k) Matching Program

Employee Assistance Plan (EAP)

Commuter Reimbursement Program

Employee Referral Bonus Program

Tuition Reimbursement Program

Cell Phone Usage Reimbursement

Reservable Bicycles