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Internship Nba Computer Science Jobs in Massachusetts

Freddie Mac

$15 - $20.25/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

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Internship Nba Computer Science information

What types of projects can I expect to work on during an NBA Computer Science internship?

As an NBA Computer Science intern, you'll typically be involved in projects that support data analysis, software development, or technology integration for basketball operations, fan engagement, or business analytics. You may collaborate with data scientists, software engineers, and business analysts to develop tools, analyze large datasets, or improve internal systems. The NBA values innovation, so you might also work on pilot programs using emerging technologies. This collaborative environment provides valuable exposure to real-world applications of computer science in the sports industry.

What is an NBA Computer Science internship?

An NBA Computer Science internship is a temporary position offered by the National Basketball Association (NBA) or its affiliated teams and organizations to students or recent graduates pursuing a degree in computer science or a related field. Interns typically work on projects involving software development, data analysis, and technology solutions that support basketball operations, fan engagement, or business analytics. These internships provide hands-on experience in applying computer science skills to real-world sports industry challenges and may involve working with big data, machine learning, or developing digital products. Interns often collaborate with professionals in IT, analytics, and basketball operations, gaining valuable insights and networking opportunities within the sports and technology sectors.

What is the difference between Internship Nba Computer Science vs Data Analyst?

AspectInternship Nba Computer ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentSports industry, tech teams, NBA officesVarious industries, corporate offices, data teams
Employer & Industry UsageNBA teams, sports tech companiesBusinesses across sectors like finance, marketing, sports
Common Search & ComparisonInternship opportunities, sports tech rolesData analysis roles, business intelligence

Internship Nba Computer Science focuses on gaining experience in sports tech and programming within the NBA environment, often requiring basic coding skills and a passion for sports. Data Analysts analyze data to inform business decisions across industries. While both roles involve data and technical skills, internships are entry-level and industry-specific, whereas Data Analysts work across various sectors with more specialized data analysis expertise.

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What job categories do people searching Internship Nba Computer Science jobs in Massachusetts look for? The top searched job categories for Internship Nba Computer Science jobs in Massachusetts are:
Internship Nba Computer Science jobs near you

Consultant Scientist, Computer Aided Drug Design (CADD)

Psivant Therapeutics, Inc.

Watertown, MA

$150K - $185K/yr

Contractor

Posted 2 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.