We are looking for undergraduate junior and senior level students majoring in Computer Science or a related discipline for a 12-week internship role in Gaithersburg, MD from May 18th to August 7th.Position Duties:<ul><li>Working with Intern Manager to understand:<ul><li>Current process to forecast Full Time Employee (FTE) resources for Analytical Sciences including governance process and major pain points.  </li><li>Current MYTIME guidance and how FTE variance is assessed.</li><li>Major factors that impact FTE resourcing.</li><li>Major CMC activities.</li><li>Current databases of MYTIME data and underlying metadata.</li></ul></li><li>Independent work to write code to:<ul><li>Model FTE resources based on historical projects to predict resource requirements for each CMC activity per skill.</li><li>Develop user interface to ingest user input for the key factors.</li><li>Predict FTE resources for CMC projects per quarter based on the limited user input and model.</li><li>Incorporate new data to continuously improve models as we gain more expertise with certain modalities/improve efficiency of development.</li></ul></li><li>Provide detailed documentation so the work can be continued and refined after the internship.</li></ul>Position Requirements:<ul><li>Undergraduate junior and senior level students majoring in Computer Science or a related discipline. Candidates must have an expected graduation date after August 2026.</li><li>Understanding of machine learning and artificial intelligence is required.</li><li>Programming experience including developing tools or models independently and building scripts either in an academic or professional setting is required.</li><li>Software exposure to Excel and Power BI is preferred.</li><li>Previous experience building prototypes or contributing to digital transformation project is preferred.</li><li>Ability to report onsite to Gaithersburg, MD 4-5 days per week. This role will not provide relocation assistance.</li><li>US Work Authorization is required at time of application.</li><li>This role will not be providing CPT support.</li><li>Compensation range: $37 - $39 hourly.</li></ul>Compensation Pay Range: The annual base pay (or hourly rate of compensation) for this position is outlined above. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Date Posted09-Jan-2026Closing Date29-Jan-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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AstraZeneca

AstraZeneca is a global biopharmaceutical company. We seek an undergraduate intern for a 12-week contract in Machine Learning and A.I., requiring computer science studies and programming skills. The intern will model FTE resources and develop predictive tools. Benefits include hourly pay, 401(k), paid vacation, health coverage, and an inclusive work environment.

Machine Learning and A.I. Intern

Summary