Medical Director Jobs

Certified Inpatient Medical Coding Auditor — Remote Nationwide. Apply via Workday.

... Facility: HLL INFRA TECH SERVICES - WB Qualification: Diploma Job Code: IJP565016 | Source: Sodexo India

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary It’s an exciting time for our Medical Economics team at CVS Health. As a growing team in a Fortune 5 company, we can provide amazing benefits to our employees along with continuous career development. This includes flexible work location, a great work-life balance, and a competitive salary. You will also be able to flex your analytics and consultative skills to positively impact our patients’ health. As a Medical Economics Analyst, you will provide consultative support and medical cost-based analysis of markets and network initiatives. You will be responsible for consulting with network and clinical management on opportunities to improve our company’s discount position and strategic cost and utilization initiatives and is essential to managing conflicting priorities and multiple projects. As part of the Medical Expense Review (MER) team, you will prepare analytic exhibits and manage both long and short-term projects, working collaboratively with local market leaders to accomplish tasks and goals that will improve the care we give our patients. Possible remote opportunity. You will also: • Analyze and research utilization and unit cost medical costs drivers. • Turn data into usable information by telling the story through data visualization. • Support the development of scoreable action items by identifying outlier cost issues. • Perform

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Performs complex medical economic projects (e.g. contract rate modeling) Accountabilities include identification and completion of key deliverables to ensure all business objectives are met. Responsible for the development and implementation of key medical economics business efforts e.g.medical cost initiatives, policies/programs, budget and analytical models. Partners and consults with Network Management to provide medical cost analysis to assess effectiveness of contracted rates, creating and implementing plans to effectively manage medical costs based on analysis or trends. Develops market specific provider reimbursement schedules Oversees the production of both standard and ad-hoc reports used for risk assessment analysis, budgeting, and hospital chargemaster analysis and forecasting. Coordinates rate approvals and develops pricing for most complex contractual arrangements. Develops and communicates tactical and strategic plans to satisfy information needs across products, segments and markets to a broad audience Required Qualifications 3+ years demonstrated leadership and/or project management experience 3+ years of healthcare and/or analysis experience. Preferred Qualifications • Knowledge of managed care and how provider reimbursement policies relate to the control of me

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary It’s an exciting time for our Medical Economics team at CVS Health. As a growing team in a Fortune 5 company, we can provide amazing benefits to our employees along with continuous career development. This includes flexible work location, a great work-life balance, and a competitive salary. You will also be able to flex your analytics and consultative skills to positively impact our patients’ health. As a Medical Economics Sr Analyst, you will provide consultative support and medical cost-based analysis of markets and network initiatives. You will be responsible for consulting with network and clinical management on opportunities to improve our company’s discount position and strategic cost and utilization initiatives and is essential to managing conflicting priorities and multiple projects. As part of the Medical Expense Review (MER) team, you will prepare for monthly presentations, and manage both long and short-term projects, working collaboratively with local market leaders to accomplish tasks and goals that will improve the care we give our patients. You will also: • Analyze and research utilization and unit cost medical costs drivers • Turn data into usable information by telling the story through data visualization • Support the development of scoreable action items by identifying outlier cost issues • Perform drill-down analysis to identify medica

Manager, Medical Affairs — United States - California - Foster City. Apply via Workday.

Sr. Project Manager (Medical Devices) — 2 Locations. Apply via Workday.

Sr. Medical Scribe — NY - Bronx. Apply via Workday.

Regulatory Affairs Specialist, Medical Device — Vietnam - Hanoi. Apply via Workday.

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are As a Senior Associate on this team, you will actively contribute to managing our relationship with carriers and play a key role in ensuring the accurate and efficient handling of our medical benefits. Your ability to communicate with the team proactively and to be solution-oriented will be invaluable in this role. You will actively engage in collaborative problem-solving, working closely with Operations peers and members of Product, Engineering, Customer Support, Legal, and other cross-functional teams. Together, you will identify opportunities for us to invest in improving efficiency and streamlining our processes. This role is an incredible opportunity for someone looking to join a high-performing team and gain experience and exposure to all aspects of building and running a product and business. As part of the Medical Benefits team, you will have several different growth paths available to you, assuming you meet/exceed expectations. Justworks helps people by providing access to a wide range of world class benefits; from Medical, Dental, and Vision insurance to COBRA, spending accounts, 401(k) and a variety of

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity

What you’ll do Act as the in-house electrical lead for Midjourney Medical: own the electrical architecture of the scanner and the technical direction for all board-level design. Own complex board design end-to-end: architecture, schematic capture, layout (high-speed digital, analog/mixed-signal, power), DFM/DFT, fabrication and assembly vendor management, bring-up, and revision control. Write firmware for embedded targets (MCU/SoC): drivers, real-time control loops, safety-relevant logic, bootloaders, and field update paths. Audit and update HDL (FPGA) code for high-throughput data acquisition, timing/synchronization, triggering, and pre-processing of ultrasound and sensor data streams. Define electrical interfaces and data contracts with software, recon/ML and mechanical teams: timing budgets, clocking/sync, signal integrity, connectors/harnessing, and failure modes. Establish electrical engineering rigor: design reviews, schematic/layout review checklists, bring-up procedures, test fixtures, and documentation suitable for a regulated medical device program (DHF, traceability, change control). Mentor and grow the electrical function; select and manage external design partners where leverage is high. What we’re looking for Deep experience designing complex boards from blank page to stable revision, including high-speed digital and analog/mixed-signal domains. Strong schematic and layout skills (Altium/KiCad or equivalent) with real signal integrity, power integrity, grounding, and EMI/EMC instincts. Solid embedded firmware background in C/C++ (and Python for tooling): peripherals, DMA, interrupts, real-time constraints, and debugging on hardware. Practical HDL experience (VHDL/Verilog/SystemVerilog) for data acquisition, timing, and streaming interfaces. Track record of owning bring-up and debug on real hardware: scopes, logic analyzers, and disciplined root-cause analysis. Technical leadership: clear trade-offs, strong written documentation, and the ability to set

What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.