Padmi

Bioinformatics Intern (Hyderabad)

HyderabadPosted 1 month ago
Data Science And StatisticsInternFull Time; Regular
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Job Description: Bioinformatics Intern (Customer Discovery and Machine Learning) Position: Bioinformatics Intern Location: Begumpet, Hyderabad Duration: 3-4 months Compensation: Paid / Stipend-based Start Date: Flexible About Us: Git Tech, a forward-thinking startup in the biotechnology and AI space, is developing cutting-edge solutions for early detection of neurodegenerative diseases, including Parkinsons disease. We leverage artificial intelligence (AI) and machine learning (ML) techniques on multimodal healthcare data to build software as a medical device (SaMD). We are seeking highly motivated Bioinformatics Interns to support our customer discovery efforts and assist in the development of ML algorithms. Position Overview: We are looking for fresh graduates or students pursuing a Master's degree in Bioinformatics or related fields to join our team as interns. The role is multidisciplinary, involving both customer discovery (understanding user needs) and machine learning development (building AI models for medical data). This is an excellent prospect for those looking to gain hands-on experience in both technical development and product-market fit research. Key Responsibilities:Customer Discovery: - Conduct user research by interviewing patients, clinicians, and other stakeholders in the healthcare industry. - Collect and analyze feedback to identify pain points and opportunities in the market. - Translate customer insights into technical requirements for product development. - Assist in the design and deployment of surveys/questionnaires to gather large-scale user data. - Collaborate with the team to define customer personas and potential market segments. Machine Learning & Bioinformatics: - Analyze complex biological and clinical data related to Parkinsons disease, such as genomic, proteomic, or clinical data. - Preprocess and clean multimodal datasets for machine learning analysis. - Assist in building and optimizing AI algorithms for predictive mod .

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