Scientist/Sr. Scientist, Machine Learning

Company: Voyager Therapeutics, Inc.
Location: Cambridge
Posted on: June 22, 2022

Job Description:

About VoyagerWe are Voyager Therapeutics, a pre-clinical stage biotech compelled by curiosity and powered by persistence. Voyagers are bold innovators who are energized in unlocking the full potential of AAV gene therapy employing our TRACER TM capsid discovery platform. Our resolve is to advance the field of AAV gene therapy, and through our innovative capsids, we are extending the reach and impact of our technology to help more patients in need.Recognizing that we can expand on the experience, innovation, and outcomes that propel our efforts by working together, we actively seek diverse views. If you're someone who wants to make discoveries that change the landscape of medicine for patients, we want you on our team!Job SummaryVoyager Therapeutics is seeking a Lead Machine Learning Scientist with demonstrable experience in developing and delivering end-to-end ML solutions to join our new Bioinformatics & Data Sciences team. The position requires a strong technical background in computational biology and machine learning with an emphasis on utilizing and developing novel methods for engineering the next generation of AAV engineering. The goal will be to contribute to development of novel surface protein variants which are improved in their tissue and cell-type specificity. We are searching for a driven, enthusiastic, and self-motivated individual who is comfortable multitasking and working independently on various aspects of the platform. This individual will contribute scientific, technical, and leadership expertise to a multidisciplinary team, emphasizing conceptualization, experimentation, data analysis, presentation, and strategic planning.The candidate will also be responsible for establishing and documenting the workflow for data analytics platforms from analysis through visualization. The successful candidate will represent the team in multiple cross-functional research projects and will have the opportunity to enable the next generation of gene therapy development using Machine Learning, AI and computational biology approaches.Key Responsibilities

• Design and implement new analytical approaches to engineer and evolve capsid avidity and specificity, based on internal and external data sources
• Process, analyze, and interpret data for a wide variety of biological and clinically relevant projects to generate statistically motivated research hypotheses.
• Establish a strong foundation for machine learning capabilities and provide company-wide expertise
• The successful candidate will work both independently and as part of a collaborative team to develop data analysis and machine learning solutions to understand and interpret multi-platform profiling data
• Mentor junior engineers and identify and advocate for processes and discovery efforts that are amenable and can benefit from machine-guided approaches and deep learning.
• Collaborate closely with experimental scientists to ensure that data is effectively utilized for high level impact.
• Work directly with the scientists to develop and train on consistent data management procedures around assay execution and data curation
• Deploy and operationalize scalable ML models cost-effectivelyRequiredQualifications
  • B.S. M.S. or Ph.D. in Computer Science, Statistics, Bioinformatics, Computational Biology Mathematics or equivalent field plus a minimum of 7, 5 and 3 years of relevant experience, respectively
  • Ability to apply scientific principles in a broad range of technical assignments, making independent decisions based on sound scientific reasoning and analysis
  • Demonstrated leadership as applied to the management of complex technical projects
  • Hands-on experience in programming and scripting languages (Python, C++, R, etc.) along with a comprehensive understanding of machine learning methods.
  • Experience in implementing machine/deep learning solutions using frameworks and packages such as scikit-learn, PyTorch, TensorFlow, Keras, etc.
  • Thorough understanding of variety of machine learning techniques: clustering, decision trees, NLP, SVM, artificial neural networks, CNNs LSTM, reinforcement and transfer learning, etc.
  • Excellent communication and effective problem-solving skills; strong tropism for teamwork; track record in serving a variety of diverse customers and projects
  • Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants Preferred
    • Life sciences experience in industry or academia. Example: biotech, pharmaceuticals, therapeutics, diagnostics spaces
    • Experience with genomics, gene-therapy, AAV, NGS data analyses
    • Experience effectively building on big data frameworks (Spark), graph databases (Neo4j), distributed analytics engines (Elasticsearch), cloud services such as S3, EC2, ECS, AWS Batch, Amazon Sagemaker to reduce runtime to train, evaluate deep learning models
    • Experience in developing data models and leveraging databases (Snowflake, Databricks, BigQuery, SQL) to mine large unstructured datasets
    • Experience developing and collaborating using version controls system (Git, GitHub) and interactive computing platforms (Jupyter notebooks and Google Colab)Voyager Therapeutics requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. Voyager Therapeutics will consider reasonable accommodations as required by federal, state, and local laws.

Keywords: Voyager Therapeutics, Inc., Cambridge , Scientist/Sr. Scientist, Machine Learning, Other , Cambridge, Massachusetts