[Hiring] Senior Data Scientist - AI Voice @Lumeris

Role Description

We're seeking a Senior Data Scientist to build the voice AI and model capabilities behind Tom, our AI-enabled primary care platform. Reporting directly to our VP of AI, you'll split your time between two halves of the same problem: developing and fine-tuning the models that power clinical AI, and building the voice systems that let us test, stress, and trust those models before they ever reach a patient. This is a hands-on, build-first role for someone who has personally trained models and shipped conversational voice systems into production.

Primary Responsibilities

• Voice AI Development
  • Build and deploy real-time conversational voice agents, working across the speech stack — speech-to-text, LLM reasoning, and text-to-speech, as well as newer speech-to-speech approaches.
  • Solve the practical problems that determine whether voice works in the real world: telephony audio fidelity, latency, interruptions and barge-in, background noise, and variable capture conditions.
  • Develop simulation capabilities that generate and role-play patient conversations at scale, covering the range of real-world conditions and edge cases that manual testing cannot reach.
  • Make and defend architecture tradeoffs across the voice stack, balancing control, latency, and simplicity.
• Model Development & Fine-Tuning
  • Design and train deep neural networks from the ground up, moving beyond off-the-shelf and regression-based approaches.
  • Fine-tune language models on clinical and longitudinal healthcare data for prediction and generation tasks.
  • Select and apply the right training approach for the problem, and articulate clearly where training, fine-tuning, and prompting each belong.
  • Build the data pipelines and transformations that make clinical data usable for model development.
• Evaluation & Safety
  • Build evaluation pipelines that measure model output for accuracy, consistency, completeness, and omission — including LLM-as-judge approaches.
  • Red-team AI agents to surface failure modes before they reach production, and translate findings into measurable quality improvements.
  • Establish the testing discipline and quality signals that clinical reviewers rely on.
• Cross-Functional Partnership
  • Partner with clinical, product, and engineering teams to turn ambiguous problems into defined technical work.
  • Communicate complex technical concepts credibly to both technical and non-technical audiences, including company leadership.
  • Mentor junior team members and raise the technical standard across the group.

Qualifications

• Bachelor's degree with quantitative major (e.g. statistics, mathematics, economics, and actuarial science) or equivalent.
• 5+ years of relevant data science, machine learning, or applied AI experience, or the knowledge, skills, and abilities to succeed in the role.
• Must-have hands-on experience building and deploying production voice or conversational AI systems — speech and speech-to-speech, working with real audio in live environments, not text-only NLP or chat.
• Must-have demonstrated experience training neural networks from scratch and fine-tuning language models, with the ability to explain different training approaches and when each applies.
• Proven track record of shipping, scaling, and hardening AI systems in production.
• Strong programming skills in Python and fluency with modern deep learning frameworks (PyTorch, TensorFlow).
• Working knowledge of real-time audio infrastructure and telephony integration.

Requirements

• Master's or PhD in a quantitative or scientific discipline (preferred).
• Google Cloud Platform (GCP) experience (preferred).
• Healthcare or other regulated-domain experience, including familiarity with clinical data standards such as FHIR (preferred).
• Experience building voice models or conversational agents at an AI lab or voice-first platform (preferred).

Benefits

• Medical, Vision and Dental Plans
• Tax-Advantage Savings Accounts (FSA & HSA)
• Life Insurance and Disability Insurance
• Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer & Wellness Days)
• Employee Assistance Program
• 401k with company match
• Employee Resource Groups
• Employee Discount Program
• Learning and Development Opportunities
• And much more...