Senior Bioinformatician

Experience in machine learning, deep learning, statistical analyses, predictive modeling and algorithm development required.

The Advanced Artificial Intelligence Research Laboratory at WuXi NextCODE is seeking a highly motivated Bioinformatician to help pioneer the use of machine-learning/deep-learning in genomics. The candidate will work on data generated from secondary/tertiary analysis pipelines and use machine-learning/deep-learning and statistical approaches to analyze various large-scale genomics data sets to better understand disease etiology, identify novel drug targets, and discover biomarkers for use in precision medicine.

Given the multi-disciplinary nature of the position, strong collaboration and communication skills are expected.

Essential Qualifications

  • Ph.D. in Engineering, Computational Statistics, Computer Science, Bioinformatics or another related field
  • Minimum of 2-years of related industry or academic experience or equivalent postdoctoral training
  • Experience in machine learning, deep learning, statistical analyses, predictive modeling and algorithm development
  • Familiar with NGS data analysis, using common bioinformatics tools (BWA, STAR, Picard, GATK etc.), and knowledge of publicly available genomics databases (i.e. ENCODE, GEO, TCGA, CCLA
  • 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/deep learning applications, along with a strong ability to visualize ‘big-data’
  • Ability to work on high performance computing system and manage cloud computing environments (e.g. AWS) with experience working with GPUs
  • Strong communication and presentation skills with the ability to translate and communicate complex results to individuals of diverse backgrounds

Preferred Qualifications:

  • Ph.D. in Engineering, Computational Statistics, Computer Science, Bioinformatics or another related field with a minimum of 5-years of related industry or academic experience
  • 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
  • <span “:=”” 11.5pt”=””>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