Colaboratory Python Jobs in Usa

Sr. Business Consultant, Pharma Sales and Marketing

Job Summary

Saama is seeking a Sr. Business Consultant for our Life Sciences Consulting practice, who has the experience and deep understanding of Pharma Sales Operations and Marketing. As a lead consultant, you will be a crucial leading member of a fast growing team focused on analytics solutions and consulting engagements.

You will be expected to lead delivery of client projects; provide leadership, coaching and direct supervision to project staff; build/nurture client relationships; and lead/participate in analytics solution development and innovation efforts. Working independently under limited supervision, you are expected to help plan, analyze, design, and develop business analytics solutions for complex business problems. This person will work very closely with both the Business and I.T., at all levels, to ensure successful delivery of solutions.

Position Requirements and Responsibilities

Core Expertise:

• Data Analysis and Insights Building
• Business Process Operations and Improvement
• End to End As-Is & To-Be Business Process Mapping
• Advanced Analytics and Reporting Solutions

Pharma Domain Expertise:

• Sales Data Analytics and Reporting (Integrated HCP - HCO by Sales, Rx, and Claims data)
• Segmentation and HCP/HCO Targeting knowledge required
• New Product Launch Strategy and Analytics
• HCP to HCO to GPO/IDN Affiliations Management
• Territory Alignment Solutions
• Incentive Compensation Management (IC Data/Reporting)
• Deep expertise with Claims data (Symphony or IQVIA )
• Commercial Data Management Strategies
• Data Expertise (IQVIA, DRG, HealthLeaders, Symphony, CMS, EHR/PHR, SP, SD)

Consulting Skills:

• Demonstrate a logical, rigorous, and analytical problem-solving approach, leading requirements gathering sessions and preparing and delivering client presentations and work products
• Experience writing uses cases, user stories and acceptance criteria
• Experience with external facing applications planning and design
• Experience with Waterfall, Agile/Scrum project delivery methodologies
• Communicate business findings and strategic recommendations to senior management.
• Be able to write client ready decks with few iterations under the guidance of a more senior consultant (e.g. can structure complex analysis involving multiple quantitative and qualitative datasets and all required activities, can structure horizontal and vertical logic of decks)
• Be able to outlines initial storyboard of decks of more complex problems without or with minimal support from senior
• Conduct and document complex business analysis
• Ability to adapt to change, work independently, organize work effectively and take initiative in fast-paced work environment while managing multiple tasks and deliverables simultaneously
• Become a thought leader and Subject Matter Expert (SME) for specific analytics driven business problems.
• Skilled at analyzing complex issues and distilling concepts to clients
• Able to proactively identify risks, and drive action to mitigate and resolve issues
• Strong analytical and interpersonal communication skills, with the ability to work independently
• Strong organizational skills and the ability to manage a vast array of information
• Broad understanding of the role of data management, information flow, and data governance issues
• Able to serve as a liaison between both business and technical teams to drive effective, timely solutions that fulfill both strategic and operational needs
• Skilled at defining and documenting business processes and requirements for ongoing system enhancement initiatives
• Firm sense of accountability, ownership for end-to-end project lifecycle
• Excellent verbal, written and presentation skills, with the ability to interact efficiently with technical and non-technical groups

Technical Expertise:

• Advance level presentation skills required: Powerpoint, Google slides
• Data Analysis: SQL, SAS, MS Excel and Access Expert.
• Experience with data discovery, analytics and reporting tools preferred (e.g. Qlikview, Tableau, Power BI)
• Demonstrated advanced level analytical skills are required.
• Systems and tools knowledge preferred (MDM, SFDC CRM, Field Support Tools).
• Data Warehouse experience (design, development and/or implementation) is a plus.
• Statistical experience (SAS, R, WPS, Python) is desirable.

Job Title: Acoustics Design Engineer

Reports to: VP of Product Development

Job Location: Santa Clara, CA

We are taking medical imaging where you never thought it could go - everywhere. We're aiming to build a future healthcare system that's unconstrained by the four walls of a hospital and engineered for a world where providers can see into every patient immediately. We are building an affordable handheld ultrasound device and workflow platform for a new era of medical care.

Job Summary

Exo is seeking a highly motivated and technically strong Acoustics Design Engineer to perform acoustic and transducer design of its ultrasonic imaging products. In this role, you will help evolve the specification and modeling of Exo’s core pMUT technology into next- generation devices. You will work closely with Product Engineering, Imaging, Manufacturing, and Characterization to translate imaging and system requirements into robust acoustic designs, ensure manufacturability, and resolve acoustic issues from concept through verification and production.

Job Responsibilities (but not limited to)

• Design, analysis, and optimization of Exo’s pMUT transducer architectures, spanning coupled electrical, mechanical, and acoustic domains across large arrays.
• Develop and maintain scalable modeling workflows to rapidly explore and optimize pMUT designs within an open design space, accounting for system requirements, architectural trade-offs, and manufacturing constraints.
• Partner with internal design, process, and manufacturing teams to define, refine, and align on design targets, tolerances, and constraints.
• Provide detailed modeling support for layout and DFM (design for manufacturing) activities, including prediction of performance variation due to process and material variability.
• Close the loop between design, process, and test by analyzing characterization data, comparing results to design targets, updating models and specifications, and driving design improvements.
• Model and analyze acoustic interactions with adjacent structures including lenses and matching layers, reflectors and absorbers, housings, silicon die, PCBs, and interconnects.
• Translate imaging and system-level requirements into pMUT specifications, making informed trade-offs when competing requirements cannot be met by a single design.
• Develop simplified and reduced-order models, where appropriate, to capture array- level and system-level physics while maintaining predictive accuracy.
• Development projects under this organization are at the leading edge of technology and require creative development approaches, particularly with regard to design, architecture, and process variation. Dynamism with flexibility and adaptability to accept new tasks is key.
• Document models, assumptions, results, and design decisions clearly through reports and presentations to support cross-functional decision-making.

Education/Experience Requirements

• MS or PhD in Mechanical Engineering, Electrical Engineering, Acoustics or an equivalent field.
• Strong background in acoustic and/or piezoelectric transducer design.
• Extensive experience with finite element modeling of coupled multi-physics
• systems.
• 10+ years of relevant industry or research experience in acoustics, transducers,
• MEMS, or related fields.
• Demonstrated ability to lead complex technical projects and influence cross-
• functional teams.

Preferred

• Hands-on experience with ANSYS (or equivalent multiphysics FEM tools).
• Experience designing pMUTs, cMUTs, or related ultrasonic transducer
• technologies.
• Background in consumer electronics, medical devices, or healthcare imaging
• systems.
• Proficiency with data analysis and scripting tools such as Python, Mathematica and JMP.

What Success Looks Like

• You are a recognized subject-matter expert for transducer and acoustic design.
• Cross-functional teams rely on your models and recommendations to make critical
• architectural, design, and product decisions.
• Design targets are clearly defined, achievable, and aligned with customer and
• system requirements.
• Next-generation products are delivered with high confidence in acoustic
• performance, robustness, and manufacturability. Exo Imaging • Confidential Proprietary Information

Salary: $190,000 - $230,000

Join a leading pharmaceutical company’s Data Science team, where you’ll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director (Or Sr Manager), A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you’ll lead strategic initiatives from predictive modeling and personalization to field force optimization, delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights.

Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI

Location: Onsite 3 days a week in Cambridge, MA

Key Responsibilities

• Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges
• Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access
• Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI
• Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation
• Guide stakeholders through insight activation and integration into workflows
• Champion model governance, experimentation, and analytical rigor
• Collaborate with IT to develop ML Ops environments and productized solutions
• Manage external analytics partners and ensure alignment across data engineering, insights, and compliance

Who You Are

A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact.

Qualifications

• 5+ years in analytics role within pharmaceutical industry
• Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization
• Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting
• Success in marketing mix modeling, decision engines, and GenAI product design
• Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau
• Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets
• Strong communicator with executive presence and cross-functional influence

Send resume to

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

Position Summary

The Director of People Analytics & Artificial Intelligence will build and lead TAG’s next generation people insights and AI strategy. Reporting directly to the CHRO, this role will transform how we use workforce data, predictive analytics, and artificial intelligence to drive business performance across our multi-brand healthcare organization.

This leader will own the vision, strategy, governance, and execution of people analytics and AI initiatives delivering actionable insights, enabling data-driven decision-making, and deploying intelligent automation that improves workforce productivity, engagement, and outcomes. This is a high-impact, enterprise-level role at the intersection of HR, technology, and business strategy.

Key Responsibilities

People Analytics Strategy & Execution

• Develop and execute TAG’s enterprise people analytics roadmap aligned to business strategy.
• Build predictive and prescriptive models to support workforce planning, attrition risk, labor optimization, recruiting effectiveness, productivity, and engagement.
• Create executive dashboards, brand dashboards, and board ready analytics tied to business KPIs (talent acquisition metrics, retention, predictive analytics, labor efficiency, etc.)
• Partner with Finance, Operations, IT, and Brand HR leaders to embed analytics into decision-making.

Artificial Intelligence in HR

• Lead the development and governance of AI-enabled HR solutions (e.g., intelligent recruiting tools, workforce planning models, employee self-service agents, automated case management, talent insights).
• Identify and pilot emerging AI use cases across the employee lifecycle.
• Ensure responsible AI practices, compliance, and ethical guardrails.
• Partner with IT and Legal on data security, governance, and regulatory alignment.

Workforce Intelligence & Predictive Modeling

• Build predictive models for turnover, provider productivity, staffing demand, and succession risk.
• Develop scenario planning capabilities for multi-brand workforce strategies.
• Deliver labor optimization insights across clinical and support functions.
• Support M&A integration analytics and due diligence workforce modeling.

Data Infrastructure & Governance

• Oversee HR data architecture in partnership with HRIS and IT.
• Establish enterprise data definitions, integrity standards, and governance processes.
• Ensure seamless integration between Workday and other enterprise systems.
• Improve reporting automation and reduce manual reporting processes.

Team Leadership

• Build and lead a high-performing People Analytics and AI team.
• Lead center of excellence model supporting all brands across TAG.
• Develop internal capabilities in data literacy across HR leadership.

Executive Partnership

• Serve as a strategic advisor to the CHRO and the People Leadership Team
• Present insights to senior leadership and private equity stakeholders as needed
• Translate complex data into compelling business narratives.

Qualifications

Required

• 8–12+ years of experience in people analytics, workforce strategy, data science, or HR technology.
• Experience leading analytics strategy in a complex, multi-unit or healthcare environment preferred.
• Strong expertise in predictive modeling, workforce analytics, and AI applications.
• Experience with Workday and enterprise HR systems.
• Demonstrated ability to influence executive stakeholders.
• Proven team leadership experience.

Preferred

• Background in healthcare, retail healthcare, dental, medical, or multi-site services.
• Experience in a private equity-backed organization.
• Advanced degree in Data Science, Statistics, Economics, Industrial-Organizational Psychology, HR, or related field.
• Familiarity with Python, R, SQL, Power BI, Tableau, or similar tools.

Leadership Competencies

• Strategic thinker with strong business acumen
• Highly analytical and intellectually curious
• Builder mentality — comfortable creating from the ground up
• Technologically fluent with strong AI awareness
• Strong communicator who simplifies complexity
• High ethical standards regarding AI and data use

Success in this role will result in:

• Measurable improvement in retention and workforce productivity
• Predictive visibility into staffing and labor risks
• AI-enabled efficiency across the HR function
• Executive-level workforce intelligence embedded into enterprise decision-making
• Scalable analytics infrastructure supporting TAG’s growth

Why Join The Aspen Group?

At TAG, we are committed to fostering a high-performance culture that values innovation, collaboration, and excellence. This role provides an opportunity to shape the future of HR at a leading organization, making a meaningful impact on both employees and business success.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Opportunities available for a Business Intelligence Analyst to join our Community Medical Group family!

We are seeking a Business Intelligence Analyst to support organizational growth by transforming complex data into clear, actionable insights. This role partners closely with executive leadership, IT, and cross functional teams to develop reporting, dashboards, and analytics solutions that drive operational efficiency, strategic planning, and improved performance across the organization.

In addition to our competitive pay, we also offer:

• 17 PTO Days
• 11 paid Holidays
• 1 Floating Holiday
• United Healthcare for our health, dental, and Vison plans
• 401k + Employer Match
• Company paid Life Insurance
• An engaging work environment
• Growth opportunities plus so much more!

What will you be doing?

• Analyze complex structured and unstructured data to identify trends, patterns, and performance insights
• Develop and deliver reports, dashboards, and visualizations using PowerBi.
• Build and maintain data models to support forecasting, predictive analytics, and business planning
• Collaborate with business leaders and technical teams to gather requirements and translate needs into analytics solutions
• Ensure data accuracy, integrity, and governance standards are maintained

What do we need from you?

• Bachelor’s degree in Computer Science, Statistics, or a related field
• Master’s degree preferred
• Minimum of two years of experience in business intelligence, data analytics, or a related role
• Minimum two years with PowerBi reporting
• SQL proficient, familiarity with Python and ETL processes/tools
• Healthcare experience preferred

Passion| Service | Integrity | Accountability

#CMGProud

We are recruiting a highly motivated postdoctoral researcher to join our spatial proteomics laboratory located at the Broad Institute, where we apply mass spectrometry-based spatial proteomics to human skin disease.

Position available from June 2026

Who we are

Our lab addresses fundamental questions in human skin disease, with recent publications in Nature and Nature Methods, including the discovery of a JAK inhibitor-based treatment for a lethal skin disease. We aim to bridge the gap between molecular discovery and clinical translation, and offer access to patient cohorts at MGH, our own state-of-the-art proteomics platform, and the scientific environment of the Broad Institute.

What we offer

• A research program designed for high-impact publications at the interface of proteomics and translational medicine, for real-world clinical impact
• Expertise in Deep Visual Proteomics (DVP)
• A dedicated Orbitrap Astral Zoom platform and full proteomics infrastructure
• Access to deeply phenotyped patient cohorts
• The intellectual environment of the Broad Institute and Harvard Medical School
• Mentorship toward an independent scientific career

What we are looking for

The ideal candidate is a hands-on mass spectrometrist with:

• A PhD in analytical chemistry, biochemistry, proteomics, or a related field
• Deep practical experience operating and optimizing modern mass spectrometers and LC-MS workflows (3+ years)
• Hands-on experience with proteomics sample preparation, including low-input or FFPE tissue workflows
• First-author publications and a genuine curiosity about biology, with a track record of technical innovation: you have built, improved, or solved something others had not
• Comfort with data analysis scripting (Python or R)
• The drive to push limits in a clinically meaningful direction
• Excellent written and spoken English

How to apply

Please include a CV, a brief statement of your research interests & technical background (half page), and contact information for two referees.

We are supporting a leading global life sciences organization with the addition of an IT QC Systems Analyst to support Quality Control (QC) laboratory operations at a regulated manufacturing site in Worcester, MA.

This is a hands‑on, onsite role focused on laboratory systems support, validation, data integrity, and process optimization within a GMP environment.

This role partners closely with laboratory, operations, and enterprise IT teams to ensure systems remain compliant, reliable, and optimized to support daily QC activities.

Contract Details:

• Duration: 12 months
• Work Type: Onsite (Worcester, MA)
• Pay: Competitive hourly rates (W2 or C2C available)

Key Responsibilities:

• Provide technical and operational support for QC laboratory systems, instruments, and associated software in a GMP environment.
• Support validation activities and documentation, including SIQ, SOQ, spreadsheet validation, and periodic validation reviews (PVRs).
• Develop, maintain, and troubleshoot Excel spreadsheets and macros to streamline data processing, reporting, and compliance activities.
• Perform Windows upgrades, PC decommissions, software installations, and system upgrades for lab and operations computers.
• Support digital transformation initiatives by gathering requirements and feeding improvements to enterprise IT teams.
• Assist with process optimization, elimination of manual workflows, and data integrity assurance across laboratory operations.
• Support and administer operational systems such as SAP, Infor, and MES platforms (including POMS).
• Install and support Acronis and NuGenesis software on laboratory PCs.
• Provide support related to OSI PI / data historian systems as needed.

Required Qualifications:

• 3+ years of experience supporting QC laboratory systems or applications in a GMP environment.
• Strong experience with Excel, including macro development and troubleshooting.
• Working knowledge of validation processes and documentation (SIQ, SOQ, spreadsheet validation).
• Experience supporting QC lab instruments, lab software, and Windows‑based systems.
• Hands‑on experience with Windows OS installations, upgrades, and system support.
• Familiarity with enterprise operational systems such as SAP, Infor, or MES (POMS).
• Strong problem‑solving, communication, and organizational skills.

Preferred Experience:

• Background in life sciences, pharmaceutical, or biotech environments.
• Prior experience supporting QC labs in regulated manufacturing settings.
• Experience with ITIL and GAMP frameworks.
• Exposure to Waters Empower, OSI PI, or similar data historian platforms.
• Experience with PowerApps, Power BI, SharePoint administration, or cloud platforms (AWS/Azure).
• Knowledge of Python, Java, or SDLC concepts is a plus.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent hands‑on experience.

Why This Role:

• This position plays a critical role in maintaining compliance, reliability, and operational excellence within QC laboratories. You’ll work closely with lab users, IT teams, and stakeholders to ensure systems support high‑quality manufacturing and continuous improvement.

Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.

California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Job Title: Support Engineer

Location: Seattle, WA / Bothell, WA (On-site)

Job Type: Full-time

About Us:

Cinnamon is a forward-thinking healthcare technology company focused on empowering patient advocates through innovative solutions. By automating critical processes, we help healthcare organizations secure financial assistance for their patients efficiently and securely. Our mission is to improve healthcare accessibility while maintaining the highest standards of data integrity, compliance, and customer trust.

Role Summary:

We are seeking a skilled Support Engineer to lead technical support efforts for healthcare customers and internal Cinnamon users. This role partners closely with engineering, product, implementation, clinical operations, and security teams to resolve complex issues, improve system reliability, and deliver a high-quality user experience across the platform. You will handle escalations, guide support processes, and contribute to a strong operational and security posture. The ideal candidate excels at cross-functional troubleshooting, clear communication, and customer empathy.

Key Responsibilities:

• Own customer support issues end to end and ensure timely, accurate resolutions
• Support customer onboarding by validating configuration, reviewing workflows, and preparing customers for go-live
• Deliver advanced training and create materials that help clinical and administrative teams adopt the platform effectively
• Serve as the escalation point for Jira Service queues and guide triage and prioritization
• Provide advanced support to internal users across authentication, access, feature flagging, analytics, logging, VPN, GitHub, password management, and productivity tools
• Investigate and resolve issues across GCP services, , Auth0 flows, LaunchDarkly configuration, Mixpanel events, NordLayer access, GitHub permissions, 1Password access, and related systems
• Maintain and improve documentation in Confluence, including workflow diagrams, runbooks, SOPs, and troubleshooting guides created in Lucidchart
• Perform proactive system monitoring using GCP logs, , uptime indicators, and automated alerts to detect and address issues early
• Reproduce issues, validate fixes, analyze root causes, and collaborate with engineering to improve reliability and data integrity
• Ensure support follows HIPAA-aligned privacy, security, and data handling requirements
• Surface findings from Intruder and SecurityScorecard and track remediation with security and engineering teams
• Identify recurring patterns in support tickets, propose workflow and product improvements, and contribute insights to roadmap discussions
• Mentor junior support engineers and help develop team best practices
• Participate in incident response efforts for issues affecting multiple customers or systems

Required Qualifications:

• 4-6 years of experience providing technical support in a SaaS, healthcare, or cloud-based environment
• Proven experience supporting healthcare customers or healthcare data workflows
• Experience owning escalations and complex troubleshooting efforts in coordination with engineering or product teams
• Proficiency with Jira Service Management for issue triage and workflows analysis
• Experience supporting enterprise SaaS platforms for authentication, identity management, analytics, logging, VPN access, and secure productivity operations
• Hands-on experience with Google Cloud Platform logs, error reports, service metrics, or interactions with Cloud Run and Cloud Functions
• Strong understanding of QA processes, root cause analysis, and cross-environment troubleshooting
• Excellent communication skills with the ability to explain technical issues to non-technical healthcare users
• Strong documentation skills maintaining shared knowledge bases or support playbooks
• Comfort handling workloads involving sensitive healthcare information and security-related tasks

Preferred Qualifications:

• Scripting or automation experience in Python, Bash, or PowerShell
• Familiarity with HL7, X12, FHIR, or common healthcare data exchange patterns
• Experience supporting customers during EHR integrations or workflow onboarding
• Experience with remote support tools such as TeamViewer or AnyDesk
• Experience building documentation or diagrams in Confluence and Lucidchart
• Exposure to security monitoring tools or vulnerability management processes
• Prior mentorship or leadership experience in a support environment

What We Offer:

• A competitive salary and stock options grant
• Holiday schedule according to your country of residence and PTO
• An innovative and high-paced work environment with a flat management hierarchy
• Opportunities for professional growth and advancement in a rapidly scaling company

How to Apply:

Send your resume and a cover letter detailing your relevant experience and interest in the position to We look forward to reviewing your application and exploring how you can help us advance healthcare through innovation and technology!

Join us in transforming healthcare through innovative technology!