Role Description CircleLink Health is seeking a detail-oriented Clinical Data Entry Specialist to support our care management programs by accurately transferring clinical documentation into customer EHR systems. Part-time to start, with room to add hours as we grow. ASAP start. - Transfer clinical documentation into customer EHR systems accurately and without alteration - Maintain documentation accuracy and protect patient confidentiality (HIPAA-compliant) - Follow established clinical-support workflows - Collaborate with our care management and operations teams Qualifications - Prior EHR/EMR experience - 5 years of experience - Strong attention to detail and accuracy - Familiarity with HIPAA/PHI best practices for remote work - Reliable, self-directed, and comfortable with structured workflows - Experience in Medical Billing - EHR: Epic Systems - Electronic Health Records @ Athenahealth - eCW EHR - Eastern Time Zone preferred Requirements - Rate: $20–$30/hour, depending on experience - Schedule: Part-time, with room to grow - Start: ASAP - Location: Remote-United States only - No equity - Duration: Ongoing (6+ months) Company Description CircleLink Health is a company of passionate clinicians, technologists, and businesspeople tackling the $600B problem of preventable chronic and post-acute complications. We’re building a world-class Care Management platform to enable providers while accelerating the shift to preventative care instead of status quo reactive care.

• Diseñar y desarrollar modelos de machine learning e IA para casos de negocio. • Entrenar, evaluar y desplegar modelos utilizando Amazon SageMaker. • Implementar soluciones de IA generativa con Amazon Bedrock. • Preparar y transformar datos asegurando calidad y disponibilidad. • Colaborar con equipos para llevar modelos a producción bajo buenas prácticas de MLOps.

• Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept. • Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture. • Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation. • Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development. • Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

Role Description Apartment List is looking for a Lead Data Scientist to build, deploy, and improve machine learning models that power our two-sided rental marketplace. In this role, you’ll work on meaningful data science problems across demand- and supply-side modeling — from renter acquisition and intent signals to ranking, personalization, and marketplace optimization. You’ll take ownership of projects end-to-end, from problem framing through production launch and measurement, and collaborate closely with Product, Engineering, and Analytics along the way. Here’s what you’ll do as part of the team: - Translate customer, marketplace, and business problems into clear ML objectives, features, models, and measurement plans. - Build, deploy, and iterate on production machine learning models across ranking, personalization, renter intent, demand-side acquisition, and supply-side optimization. - Own projects end-to-end — from feature engineering and model development through A/B experimentation, launch, and monitoring. - Apply a strong statistical mindset to model development, evaluation, causal inference, and tradeoff analysis. - Partner with Product, Engineering, and Analytics to align on success metrics, deployment plans, and downstream impact. - Communicate technical findings and model tradeoffs clearly to both technical and non-technical stakeholders. - Leverage AI tools to improve your productivity across coding, analysis, documentation, and workflow automation. Qualifications - 4+ years of industry experience developing and deploying machine learning models in production, end-to-end. - A degree in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative field. - Deep proficiency in Python and SQL, with comfort across the full model development lifecycle. - Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. - Experience working with cloud platforms (GCP preferred but not required). - Strong grounding in statistical learning, experimental design, and model evaluation. - Ability to work through feature engineering, feature selection, hyperparameter tuning, and model optimization independently. - Comfort communicating and collaborating with cross-functional partners across Product, Engineering, and Analytics. Requirements - Experience in a two-sided marketplace or multi-stakeholder environment. - Background in recommendation systems, ranking, personalization, or search. - Familiarity with MLOps practices, model monitoring, Airflow, dbt, or similar infrastructure. - Experience with performance marketing models, paid acquisition, or supply-side optimization. - A master’s degree or higher in a relevant quantitative field. Benefits - Impact: Work on ML systems that directly shape the renter experience, property partner outcomes, and company performance. - Ownership: Build and own models end-to-end, from ambiguous opportunity through production launch and iteration. - Exceptional colleagues: Our hiring bar is high, and your teammates are talented, motivated, collaborative, and intellectually curious. - Influence: Have a strong voice within R&D and across the business, helping shape product, marketplace, and company strategy through data science. - A critical function: Help build and scale one of the most important technical capabilities at Apartment List. - Culture: Work in a virtual-first environment that allows you to work from anywhere in the U.S. Company Description At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: - Zone 1: $189,000 - $230,000 TTC (including $170,000 - $202,000 base salary) + equity - Zone 2: $175,000 - $212,000 TTC (including $158,000 - $186,000 base salary) + equity - Zone 3: $161,000 - $195,000 TTC (including $145,000 - $172,000 base salary) + equity This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.