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Computer Science Fashion Internship Jobs in Boston, MA

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Computer Science Fashion Internship information

What skills and qualifications are needed to thrive as a computer science fashion intern?

To thrive as a Computer Science Fashion Intern, you need a solid understanding of programming (such as Python or Java), data analysis, and a foundational knowledge of fashion industry trends, often supported by coursework in computer science or a related field. Familiarity with design software (like Adobe Creative Suite), data visualization tools, and version control systems (such as Git) is typically required. Creativity, strong communication, and adaptability are essential soft skills for collaborating across technical and creative teams. These competencies enable interns to contribute innovative tech-driven solutions that enhance fashion design, production, or marketing processes.

What is the difference between Computer Science Fashion Internship vs Fashion Design Internship?

AspectComputer Science Fashion InternshipFashion Design Internship
Required CredentialsRelevant computer science coursework, coding skillsDesign portfolio, fashion coursework
Work EnvironmentTech-focused, office or studio settingDesign studio, fashion house
Industry UsageTechnology-driven fashion companies, e-commerceClothing brands, fashion houses
Search & Comparison IntentTech and fashion intersection rolesFashion design roles

The Computer Science Fashion Internship focuses on applying coding and tech skills within the fashion industry, often involving e-commerce, data analysis, or software development. In contrast, a Fashion Design Internship emphasizes creative design, sketching, and garment construction. Both internships are valuable for careers in fashion but target different skill sets and work environments.

What does a computer science fashion intern do?

Computer science interns in the fashion industry often work on projects that blend technology with design, such as developing algorithms for trend forecasting, optimizing e-commerce platforms, or supporting virtual fitting room applications. They usually collaborate closely with design, marketing, and data analytics teams to solve real-world problems and enhance digital solutions. The work environment is typically fast-paced and innovative, offering interns a chance to learn about both software development and the unique challenges of fashion retail. This cross-functional exposure helps interns build both technical and industry-specific skills, which can open doors to future roles in tech-driven fashion companies.

What is a computer science fashion internship?

A Computer Science Fashion Internship is a temporary position that allows students or recent graduates to apply their computing and programming skills within the fashion industry. Interns may work on projects involving fashion technology, such as developing software for virtual fitting rooms, designing e-commerce platforms, or using data analysis to predict fashion trends. This type of internship helps bridge the gap between technology and fashion, offering hands-on experience with innovative tools and methods. It's a great opportunity to learn how computer science can be used in creative and commercial aspects of the fashion world.
What are popular job titles related to Computer Science Fashion Internship jobs in Boston, MA? For Computer Science Fashion Internship jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Science Fashion Internship jobs in Boston, MA look for? The top searched job categories for Computer Science Fashion Internship jobs in Boston, MA are:
What cities near Boston, MA are hiring for Computer Science Fashion Internship jobs? Cities near Boston, MA with the most Computer Science Fashion Internship job openings:
Infographic showing various Computer Science Fashion Internship job openings in Boston, MA as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution.

Consultant Scientist, Computer Aided Drug Design (CADD)

Psivant Therapeutics, Inc.

Watertown, MA

$150K - $185K/yr

Contractor

Posted 3 days ago

New


Job description

PsiThera is seeking a consultant computational medicinal chemist with expertise in drug discovery, molecular simulations and AI/ML to join our dynamic, multidisciplinary team.  Our science, our team, and our mission are focused on applying advanced computational technologies to progress a pipeline of innovative medicines for patients.  We are looking for a self-motivated individual who thrives in a fast-paced, highly collaborative environment that integrates computational and wet lab capabilities to drive our programs to the clinic.  The ideal candidate will utilize advanced computational strategies across all stages of drug discovery, including hit identification, hit-to-lead and lead optimization.  In addition, a successful candidate will have a demonstrable pharma/biotech industry record using computational methods to advance drug discovery projects, analyze simulation and AI/ML results, derive actionable hypotheses and effectively communicate findings to the team.  This individual will report to the Senior Director of CADD and collaborate closely across functions including experimental medicinal chemistry, structural biology, and application engineering teams to provide actionable insights and strategic guidance.
Key Responsibilities
  • Design small molecule (and related modality) therapeutics using structural/simulation/ML/assay data, ensuring alignment with the requirements and timelines of our drug discovery projects, and leading computational analysis and design activities on cross-functional projects.
  • Integrate knowledge of relevant computational tools and approaches, as well as key aspects of medicinal chemistry and compound property optimization, for all project stages from target selection and druggability analysis to clinical candidate nomination.
  • Collaborate with the computational development team to align priorities between platform application development and R&D projects.
  • Develop modifications and drive improvements in internal applications, building on our internal physics-based simulation capabilities and assessment of fidelity and accuracy of calculations.
  • Train and mentor team members across the organization to build understanding of modeling and AI/ML concepts and how they address project team needs.
Requirements
  • PhD in computational chemistry, organic or physical chemistry, physics, or a closely related field
  • Minimum of 5 years computer-aided drug design (CADD) or related biotech/pharma experience, with expertise accelerating small molecule drug discovery projects from target tractability and hit identification, through lead optimization (demonstrated by peer reviewed publications and inventorship status on patent applications)
  • Demonstrated experience and understanding of physics-based, AI/ML, and generative computational approaches to drug discovery
  • Excellent communication and collaboration skills, with the ability to work well in a multidisciplinary environment
  • Excellent organizational skills and attention to detail, with a strong passion for learning new concepts and technologies
Additional Qualifications
  • Proficiency in scientific programming (e.g. Python, R, C++)
  • Proficiency in molecular simulation packages (e.g. AMBER, OpenMM, NAMD, Gromacs)
  • Proficiency in data science and machine learning tools (e.g. scikit-learn, pytorch)
  • Experience mentoring interns, co-ops, and junior scientists
About PsiThera
PsiThera is creating better therapeutics through an integrated molecular design paradigm that leverages best-in-class physics-based and AI technologies honed through decades of research and innovation.  Our focus is first-in-class inflammation and immunology (I&I) small molecule therapeutics. We have assembled a diverse team with extensive experience across disciplines ranging from physics and computer science to chemistry, biology, biochemistry, and structural biology.  This continuum of complementary skills drives our scientific vision to deliver meaningful therapeutics to patients in need.  We are patient-inspired, perseverant, synergistic, supportive, intrepid, and inclusive.  If you’re passionate about advancing medicine in a fast-paced, innovative environment, and eager to contribute to a team that blends advanced computation with drug discovery, Psivant might be the perfect fit for you.
 
At PsiThera, we are a lean, high-performing team dedicated to pushing boundaries and achieving growth—both personally and scientifically.  We seek individuals who are smart, collaborative, and thrive in a dynamic, early-stage biotech environment.
 
Read More About Us
·       Our Story:            Company - PsiThera
·       Team:                    Team and Leadership - Company - PsiThera
 
PsiThera is proud to be an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. We comply with all applicable laws and regulations, ensuring that all qualified applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
 
Please note that we do not accept unsolicited resumes and kindly request that recruiters do not contact our team regarding this job posting. If a resume is submitted without a prior agreement, we will not be obligated to pay any referral or placement fees. Thank you for your understanding!
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.