Senior Director, Machine Learning

3 weeks ago

Daly City, United States PinkDx, Inc. Full time

Position Summary:

You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels. You will generate candidate models and evaluate their performance using cross-validation, iterative training, model-building and perform lock and final validation. You are proficient in state-of-the-art machine learning/AI/statistical modeling methods and will evaluate their suitability for a wide variety of genomic and non-genomic datasets.


Essential Functions:

  • Utilize internal data analysis pipelines to support R&D objectives on aggressive timelines.
  • Supervise the building of an end-to-end machine learning pipeline that builds, evaluates, iterates, and tests performance of increasingly improved and stable classifiers on relevant biological and clinical datasets.
  • Implement feature engineering processes to identify, extract, evaluate, and incorporate a comprehensive suite of genomic features derived from both RNA and DNA whole-genome assays into an automated pipeline that supports rapid generation of machine learning models suitable for subsequent evaluation.
  • Collaborate with wet-lab scientists to perform end-to-end analysis of experiments including design, processing, QC, analysis, and interpretation of results.
  • Communicate complex multifactorial relationships and insights derived from biological data via compelling visualization using state-of-the-art best practices.
  • Identify and utilize external genomic data sources to implement and evaluate algorithms described in published literature with a goal towards improving the current state of diagnosis.
  • Work independently on complex projects, anticipate, and overcome challenges, and negotiate requirements and timelines to deliver results that support company objectives.
  • Supervise the work of junior colleagues when appropriate.
  • Work cross-functionally with internal teams and external scientific advisors to develop and implement analysis solutions and regularly present and participate in cross-functional discussions.
  • Adhere to timelines, design controls & best practices for data analysis.
  • Stay current with new machine-learning tools and software technologies.
  • Contribute positively to the building of culture at a fast-paced start-up.


Education & Experience:

  • PhD in Statistics, Mathematics, Bioinformatics, Genetics, Computer Science or a related field, with a focus on Machine Learning required.
  • 8+ years of algorithm development and supervised and unsupervised machine learning/AI experience required.
  • 5+ years of experience supporting diagnostics product development is preferred.
  • Expert in one of these languages is required: R, Python, C#, or C++
  • Experience building classifiers with underdetermined systems preferred.
  • Experience in NGS, RNA-Seq, whole transcriptome analysis is required.
  • A background in oncology is a plus.
  • Experience with workflow managers, container solutions, job schedulers, and cloud computing (AWS, Azure, Google cloud) is a plus.


Additional Skills:

  • Attention to detail and ability to prioritize tasks to meet critical deadlines.
  • Excellent verbal and written communication skills, to both expert and lay team members.
  • Able to collaborate effectively with the study team, cross-functional team members, and external partners.
  • Strong proficiency in Microsoft Office 365 and related products.


Travel:

  • Travel may be required

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