Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 18 hours ago

Data Scientist II

CareDx, Inc.34 open roles

Pay
$108,000 – $135,000 a year
Where
Remote, United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Scientist IICareDx, Inc. · Remote, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CareDx, Inc.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. CareDx, Inc. postings stay open a median of 30 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 18 hours ago

CareDx, Inc. median: 30 days open

The posting

CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Through our innovative portfolio of molecular diagnostics, digital health solutions, AI-powered data and analytics, and patient support services, we partner with healthcare providers, patients, and biopharma organizations to help inform clinical decision-making and improve patient outcomes.

At CareDx, every employee has the opportunity to contribute to innovations that help transform patient care and improve lives.

The Data Scientist II will develop clinically grounded, interpretable AI and analytics solutions that support commercial, medical affairs, clinical research, and enterprise decision-making. The role will translate integrated structured and unstructured data into reliable insights, actionable recommendations, and reusable analytical products.

This role combines applied data science, statistical modeling, machine learning, generative AI, and research collaboration. The Data Scientist II will own defined workstreams from problem framing and research design through modeling, validation, documentation, deployment support, and stakeholder communication. Success requires strong quantitative judgment, reproducible development practices, and the ability to communicate methods, limitations, and recommendations clearly to technical, scientific, clinical, and business stakeholders.

Responsibilities

· Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.

· Advance literature intelligence workflows, including search, retrieval, synthesis, evaluation, and validation of AI-generated outputs.

· Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.

· Build reproducible workflows and reusable components that can progress from research prototypes to reliable applications and decision-support tools.

· Lead analytics research proposals and collaborations, including cohort definition, analysis planning, modeling, interpretation, and communication of results.

· Partner with clinicians, scientists, medical affairs, research teams, and business stakeholders to translate questions into rigorous analytical plans and defensible results.

· Support abstracts, presentations, and research reports while applying appropriate privacy, security, validation, and documentation practices.

· Contribute to and provide backup support for forecasting, Promotion Effectiveness, and Digital Product Impact initiatives.

· Perform exploratory analysis, feature engineering, model development and evaluation, sensitivity testing, and scenario analysis using Python or R and SQL.

· Collaborate with data and application engineers on pipelines, version control, testing, deployment readiness, monitoring, and maintenance; clearly document data lineage, assumptions, limitations, and recommendations.

Qualifications

· Bachelor of Science (BS) or Master of Science (MS) degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field.

· 5+ years of experience in data science, machine learning, advanced analytics, AI engineering, or a related role, including 3+ years in healthcare, diagnostics, biotechnology, clinical research, life sciences, or another regulated environment.

· Strong hands-on proficiency in Python or R, SQL, and Git-based development workflows.

· Experience developing and validating predictive, descriptive, statistical, or machine learning models using real-world clinical, EHR, laboratory, research, or other complex longitudinal data.

· Ability to produce audit-ready documentation covering data lineage, methods, assumptions, testing, validation, and model limitations.

· Strong written and verbal communication skills and the ability to collaborate across technical, scientific, clinical, and business teams.

Preferred Qualifications

· Experience with AI-enabled search, natural language processing, literature intelligence, retrieval-augmented generation, or document synthesis.

· Experience moving analytical prototypes into user-facing or production workflows, including testing, monitoring, and ongoing support.

· Familiarity with Databricks, cloud data platforms, model lifecycle management, and modern analytics application frameworks.

· Experience contributing to clinical research deliverables such as protocols, abstracts, presentations, manuscripts, or analytical reports.

How We Work

  • Curiosity: Start with Why We understand why a project matters, what problem we are solving, whom it helps, and what success looks like. We ask thoughtful questions, align early, and move forward with confidence.
  • Accountability: Extreme Ownership We take responsibility for what we build and deliver. We communicate risks early, follow through on commitments, and help resolve problems rather than waiting for detailed direction.
  • Transparency: Default to Share We proactively share context, decisions, progress, and lessons learned. We document and demonstrate our work so others can build on it.
  • Empowerment: Amplify Others We succeed as a team. We collaborate openly, recognize the contributions of others, and give credit generously.
  • Resilience: Learn Loudly We treat mistakes and unexpected outcomes as opportunities to improve. We focus on solutions, identify root causes, and share what we learn.

Additional Details:

Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients.

Our competitive Total Rewards package for US Employees includes:

  • Competitive base salary and incentive compensation
  • Health and welfare benefits, including a gym reimbursement program
  • 401(k) savings plan match
  • Employee Stock Purchase Plan
  • Pre-tax commuter benefits
  • And more!
  • Please refer to our page to view detailed benefits at https://caredx.com/company/careers

In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow.

With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together.

CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our U.S. Personnel Privacy Notice and consent to receive email communication from CareDx. Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy

The U.S. EEO posters are available here.

Note: We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

#LI-Remote

This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.

Remote: US only roles

$108,000—$135,000 USD

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against CareDx, Inc.'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on CareDx, Inc.'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    CareDx, Inc.'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.