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Takeda Pharmaceuticals 2023 Summer Internship - Applying ML methods in Oncology Clinical Pharmacology in Boston, Massachusetts

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Job Description

About the role:

At Takeda, we are committed to lifelong learning.

To that end, Takeda's summer internship program blends real world experience with an extensive overview of the pharmaceutical industry. Knowledgeable mentors will provide guidance as you gain professional hands-on experience to start your career or further develop in your expertise.

The summer internship program is a full-time commitment of 12 weeks in length and offers a unique perspective into a world-class pharmaceutical company. Our internship program also provides you the opportunity to network with people at Takeda through various planned events and activities.

Project Outline:

Project title: Machine learning approaches for time-to-event analysis

Identification of patient-level baseline prognostic factors and early on-treatment information can be leveraged to predict longer term survival benefit in cancer therapy studies and support early development decisions. Intern will explore whether tumor dynamic metrics and patient baseline parameters can correlate with efficacy endpoints such as progression-free survival (PFS) and overall survival (OS) to help decide between different treatment arms and therapies. Various regression models, including machine learning models, will be compared for performance. In addition, intern will be responsible for developing an R shiny app to automate this analysis. The easy-to-use app will help in predicting PFS/OS from input parameters and may help identify patients that will most likely respond to various therapies.

This is a hybrid/remote position.

How you will contribute:

  • Deadline-driven with a high level of organizational and planning skills

  • Strong analytical, problem-solving, and oral and written communication skills

  • Ability to work well in teams, effectively manage projects, and present ideas clearly and concisely.

  • Global mindset to grow in a diverse work environment

  • Excellent communication and leadership skills

  • Graduate level student in Data Science or Statistics related discipline

  • Strong knowledge of machine learning approaches

  • Hands-on experience with statistical modeling

  • Proficient in python or R

Requirements / Qualifications:

As stated above, Takeda is committed to lifelong learning opportunities. To that end, our internship program is open to currently enrolled students seeking early experiences and non-traditional candidates interested in making a career change and gaining new experience.

The requirements for these two groups of candidates are specified below:

Candidates currently enrolled at an accredited university:

  • Must be authorized to work in the US without sponsorship (i.e., Takeda will not sponsor interns)

  • Must be available to work full-time (40 hours/week), within core business hours (8 AM-5 PM), for a minimum of 12 weeks during the summer months

  • Minimum GPA 3.0/4.0

  • Undergraduate, Graduate, PhD, MD student with at least one year of university studies before internship

  • Return to university for at least one semester post-internship

  • Takeda does not provide student housing or housing stipends

Non-traditional candidates not currently enrolled at university:

  • Must be authorized to work in the US without sponsorship (i.e., Takeda will not sponsor interns)

  • Must be available to work full-time (40 hours/week), within core business hours (8 AM-5 PM), for a minimum of 12 weeks during the summer months

  • Must provide a cover letter explaining why you are seeking this internship, relevant experience that makes you a good candidate, and what you hope to achieve through the experience

  • Strong preference for non-traditional candidates with some experience relevant to the desired intern role

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Massachusetts - Virtual

Worker Type

Employee

Worker Sub-Type

Paid Intern (Fixed Term) (Trainee)

Time Type

Full time

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