Intern, Genomic Sciences & Target Research

Basic Qualifications:

• Current enrollment in a Master’s or Doctoral program in one of the following fields: 
  • Computer Science
  • Data Science or Machine Learning
  • Computational Biology
  • Bioinformatics
  • Computational Neuroscience
  • Or a related quantitative discipline 

Preferred Qualifications:

• Foundational programming skills, including experience with Python and relevant python libraries (e.g., pandas, numpy, scikit‑learn, beautifulsoup, selenium, or similar). 
• Basic understanding of machine learning (supervised/unsupervised learning, model evaluation, feature engineering, etc.), AI and large language model concepts. 
• Familiarity with data handling, including cleaning, parsing, and working with structured/unstructured datasets. 
• Strong analytical and problem‑solving skills and ability to work independently. 
• Clear communication skills, especially in summarizing findings and documenting workflows.
• Experience with web‑scraping tools and frameworks such as BeautifulSoup, Scrapy, or Selenium. Familiarity with LLMs, agentic frameworks, or autonomous AI tools for information extraction, summarization, or workflow automation (vLLM, Ollama, OpenAI and LangChain APIs). 
• Exposure to bioinformatics or genomics databases (e.g. OpenTargets). Understanding drug discovery concepts, especially target identification, validation, and prioritization. 
• Experience developing data dashboards or lightweight visualization tools using libraries such as Plotly, Dash, Streamlit, or Tableau. 
• Hands‑on coursework or projects involving machine learning model development, evaluation, and optimization. 
• Working knowledge of containerization (e.g. Docker). 
• Ability to integrate and interpret multi‑modal data sources, including literature, omics data, and competitive intelligence inputs. 
• Strong organizational skills with the ability to document code, analyses, and workflows clearly. Intellectual curiosity and a demonstrated interest in neuroscience, psychiatric disorders, or computational approaches to biology. 

• Having prior wet lab experience is highly desirable.

   

Working Conditions:

• This internship is an on‑site position based at our Waltham, MA research facility. 
• The intern is expected to be physically present during standard business hours to collaborate closely with scientists, data analysts, and cross‑functional partners. 
• Work will be conducted primarily in a modern office and computational research environment, with access to high‑performance computing resources, internal databases, and team‑based working sessions. 
• The intern will participate in in‑person team meetings, white‑boarding sessions, and project reviews, which are essential to the collaborative nature of early target discovery. Occasional virtual meetings may occur, but day‑to‑day responsibilities require being on site to interact with mentors and engage in fast‑paced problem‑solving activities. 
• Standard work hours are typically Monday–Friday, with some flexibility depending on project.
• The role may involve extended computer use, data analysis, literature review, and engagement with digital tools and platforms

Physical Requirements:

• Ability to work on site in an office‑based research environment for the duration of the internship. Prolonged periods of sitting or standing at a computer workstation, including extensive keyboard and screen use. 
• Ability to participate in in‑person meetings, collaborative work sessions, and occasional movement between office, conference rooms, and collaboration spaces. 
• Capability to lift and carry light materials (e.g., laptop, notebooks, small equipment) up to approximately 10–15 pounds. 
• Adequate visual and auditory capacity to read digital content, interpret data displays, and engage in discussions with team members. 
• Ability to maintain focus while performing analytical, detail‑oriented tasks for extended periods.

The hourly rate for this position ranges from $24/hr to $28/hr. Exact compensation may vary based on skills, training, knowledge, and experience. Additional details can be found on our careers website: