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N-Power Medicine
Redwood, CA | Other
$130k-160k (estimate)
1 Month Ago
N-Power Medicine
Redwood, CA | Other
$130k-160k (estimate)
1 Month Ago
N-Power Medicine
Redwood, CA | Other
$130k-160k (estimate)
1 Month Ago
Director, AI Data Scientist / Machine Learning Engineer
N-Power Medicine Redwood, CA
$130k-160k (estimate)
Other 1 Month Ago
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N-Power Medicine is Hiring a Director, AI Data Scientist / Machine Learning Engineer Near Redwood, CA

About N-Power Medicine

N-Power Medicine aims to establish a new paradigm in drug development by reinventing the ‘how’ and transforming clinical trials through better integration with clinical practice, ensuring broader participation by physicians and patients. We are building an exceptional multi-disciplinary team with diverse expertise spanning healthcare, engineering, technology and regulatory, and with people who share our core value of Empowering Community through generosity, curiosity and humility. We are working with urgency to bring better therapies to patients faster. 

NPM is looking for an experienced Director, AI Data Scientist / Machine Learning Engineer to join our dynamic team and drive innovation to extract, synthesize, and analyze information from unstructured clinical notes. As an AI Data Scientist at NPM, you will play a leading and strategic role in leveraging AI to help automate complex clinical tasks and ultimately improve patient outcomes. You will be a significant contributor to our efforts to develop, validate, and implement cutting-edge machine learning algorithms, including the use of Large Language Models (LLM), applied to diverse healthcare data sources (e.g. electronic medical records).

You will play a key role in many cross-functional collaborations between internal/external teams to identify areas where AI solutions can drive significant business benefits, all while maintaining the highest ethical standards in AI and ML. This role offers an exciting opportunity to work on groundbreaking projects, stay at the forefront of AI technology, and make a meaningful impact on healthcare. In this leading role, you will be tasked with guiding teams to develop and fine-tune AI models to ensure their accuracy in predicting outcomes of interest, as well as validating and comparing model performance using statistical analysis and error estimation. 

You enjoy sharing your expertise, supporting and mentoring your colleagues, innovating, and are committed to continuously improving. You are good at juggling projects, setting priorities, and allocating resources. Your written and verbal communication is clear and persuasive, and you build strong, trust-based relationships with your team, peers, and customers.

This is a hybrid on-site role, Bay Area is preferred 

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Role Objectives and Responsibilities

  • Lead the development and implementation of fit-for-purpose AI/machine learning algorithms in the area of Large Language Models (LLMs) and/or Computer Vision models to provide automation of clinical tasks using one or more of data domains (e.g. medical images, electronic medical records, clinical reports, etc.)
  • Collaborate with NPM’s staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements – to significantly increase efficiency and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
  • Understand company and client challenges and how integrating AI capabilities can drive the business.
  • Build AI models that explicitly learn from human feedback and assist humans in evaluating AI model output accuracy.
  • Grow and mentor a team of data scientists that can deal with these challenges and excel in pushing forward the state of the art.
  • Author and review appropriate statistical design and analysis plans in the development of AI products that includes the appropriate test, validation, and formulation to ensure increasing prediction accuracy. 
  • Stay current on published state-of-the-art algorithms and competing technologies.
  • Apply safeguards and protections in line with HIPAA and applicable privacy laws and adhere to relevant compliance, quality, security, privacy, legal, and ethical standards when it comes to the use of AI.
Education, Experience, Behavioral Competencies, & Skills
  • MSc/PhD in engineering, computer science, applied mathematics, statistics, or a related quantitative field of study. 
  • 8 years of hands-on experience in data science.
  • 3 years of technical leadership in the field of data science or machine learning.
  • Ability to code in relevant modern programming languages (eg., Python, R).
  • Direct experience with at least one deep learning framework applied in the context of LLMs or Computer Vision (e.g. PyTorch, Tensorflow, etc.)
  • Familiarity with healthcare data domain in at least one of: electronic medical records (EHR/EMR), clinical imaging, clinical workflows; Electronic Data captures (EDC), and/or clinical research/trials.
  • Some familiarity with the software development life cycle (SDLC).
  • (Preferred) Familiarity with modern, web-based compute- and storage services (e.g., AWS S3, Databricks, Google Colab, Microsoft Azure, etc.) 
  • (Preferred) Familiarity with data storage and management technologies - e.g., Microsoft SQL Server, NoSQL, and PostgreSQL.
  • Excellent written, verbal, interpersonal, and communication skills.
  • Generous, Curious & Humble.
Skills & Abilities That Will Allow You to Excel at this Role
  • Ability to see problems and solutions from a ‘holistic’ point of view, and communicate how specific solutions bring business value.
  • Ability to decompose complex system solutions into incremental steps.
  • A passion for creating sustainable, reusable, and properly modular code.
  • A passion for mentoring your team members, allowing them to shine, and being invested in their growth.
Travel Requirements
  • 5% Travel may be required
Pay Information
  • The expected salary range for this position is $210,000 and $270,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. N-Power Medicine (NPM) offers equity at hire as well as a discretionary annual bonus which may be available based on Company performance. This position is eligible for company benefits.
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More About Us

We are a mission driven, well -funded, rapidly growing company, eager to attract passionate professionals offering a highly attractive compensation package with a balanced and flexible work environment, competitive industry benefits as well as a 401K plan and other great company “perks.”

We are an Equal Opportunity Employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Covid-19 Policy – The Company is committed to providing and maintaining a safe workplace, and to safeguard the health and well-being of our employees, families, visitors, and the community. While vaccination remains one of the most important tools in advancing the health and safety of employees and promoting the efficiency of workplaces, we are now in a different phase of our response when these measures are no longer necessary. We currently do not have mandatory COVID-19 vaccination requirements for our employees and contractors, as the COVID-19 public health emergency has ended. However, there are certain N-Power Medicine employees and contractors who, based on their role, will be required to continue to follow our 2021 COVID-19 vaccination and other requirements as mandated by N-Power Medicine’s partners they serve. We reserve the right to modify or amend our corporate policy at any time.

If you find this opportunity compelling, we encourage you to apply today! We promptly review all applications. Highly qualified candidates will be directly contacted by a team member.

Job Summary

JOB TYPE

Other

SALARY

$130k-160k (estimate)

POST DATE

03/12/2024

EXPIRATION DATE

05/10/2024

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