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

Open nowPosted 2 days ago

2027 Winter Graduate Co-op - Clinical Affairs AI/ML

Abbott2,584 open roles

Where
United States - Minnesota - St. Paul
Get the CV for this job

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

Your applicationOpen now2027 Winter Graduate Co-op - Clinical Affairs AI/MLAbbott · United States - Minnesota - St. Paul

  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 Abbott'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. Abbott postings stay open a median of 26 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 2 days ago

Abbott median: 26 days open

The posting

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Job Title 2027 Winter PhD Co-op – Artificial Intelligence & Machine Learning

As the PhD Co-op, Artificial Intelligence & Machine Learning you'll support the EP Clinical Affairs organization by developing AI-solutions, advanced predictive analytics and multimodal machine learning models using clinical trial, procedural, imaging, and outcomes data.

Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

  • Career development with an international company where you can grow the career you dream of.
  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
  • An excellent retirement savings plan with a high employer contribution.
  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity This position works out of our location in the Abbott’s Electrophysiology (EP) business in St. Paul, MN. In Abbott’s Electrophysiology (EP) business, we’re advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives.

As the PhD Co-op, you’ll have the chance to focus on clinical research applications including patient recruitment forecasting, prediction of outcomes following electrophysiology procedures, and generation of novel evidence to support scientific publication and future product innovation.

What You’ll Work On

  • Design, develop, train, evaluate and fine-tune predictive models for clinical trial enrollment forecasting, clinical outcomes and other clinical applications.
  • Evaluate model performance using clinically relevant endpoints and validation methodologies.
  • Build data pipelines for harmonizing and curating diverse clinical and procedural datasets.
  • Perform data quality assessments, feature engineering, and model-ready dataset creation.
  • Integrate and analyze large multimodal structured or unstructured datasets including medical imaging, clinical records, procedural data, adverse event data, and clinical trial datasets.
  • Develop data pipelines, algorithms, and visualization tools.
  • Track metrics and document results to improve model accuracy.
  • Apply statistical, predictive, and generative AI techniques.
  • Collaborate with clinical scientists to identify clinically meaningful questions, endpoints, and model performance criteria.
  • Prepare technical reports, presentations, and recommendations.
  • Collaborate with cross-functional stakeholders.
  • Support scientific abstracts and publications.

Expected Deliverables

  • Validated and functional predictive model(s) and reproducible prototype(s) with documented performance metrics and recommendations for future clinical or operational applications.
  • Leadership presentation of findings and recommendations.
  • Technical documentation supporting future development.
  • Contribution to a scientific abstract or publication draft.

Required Education

  • Currently enrolled in a Master's or PhD program in Computer Science, Bioinformatics, Computational Biology, Health Informatics, Engineering, or related field.
  • PhD candidates preferred.

Required Qualifications

  • Advanced proficiency in Python required; experience with R, SQL, MATLAB, Julia, or other analytical programming languages preferred.
  • Experience with software development, version control, and code documentation.
  • Familiarity with core machine learning concepts, statistics, and frameworks
  • Experience developing machine learning or advanced analytical models.
  • Experience using Git for version control and familiarity with shell-based or cloud development environments.
  • Knowledge of statistical analysis, predictive modeling, and data mining.
  • Experience managing and analyzing large datasets.
  • Strong problem-solving abilities and a demonstrated eagerness to research and learn new AI technologies independently.

Preferred Qualifications

  • Experience with deep learning, NLP, generative AI, or large language models. Familiarity with libraries such as PyTorch, TensorFlow/Keras, Scikit-learn or XGBoost/LightGBM preferred.
  • Experience with multimodal AI, foundation models, or fusion methods combining imaging and structured clinical data.
  • Established and shareable GitHub repository
  • Experience working with cardiac CT, cardiac MRI, echocardiography, fluoroscopy, DICOM data, or other cardiovascular imaging datasets.
  • Experience with longitudinal data analysis, survival analysis, risk prediction modeling, or time-to-event methodologies
  • Publication record or demonstrated research excellence.

Professional Competencies

  • Strong analytical and problem-solving skills.
  • Ability to work independently and manage multiple priorities.
  • Strong written, verbal, and presentation skills.
  • Ability to communicate complex technical concepts effectively.
  • Collaborative mindset and intellectual curiosity.

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:

https://abbottbenefits.com/

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.

The base pay for this position is

$17.85 – $35.75/hour

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Administrative Support

DIVISION:

EP Electrophysiology

LOCATION:

United States > Minnesota > St. Paul > Lillehei : One Lillehei Plaza

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Not specified

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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 Abbott'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 Abbott'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

    Abbott'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.