Biotechnology Intern

4 weeks ago

india india Datafoundry Full time

Job Position: Intern (BioTech)

Experience: Fresher

Work Mode: Remote

Location : Sadashiva Nagar, Bangalore


About Company:

Datafoundry is an AI first company with solutions to accelerate digital transformation. As part of our

initial focus on the Life Sciences industry, we have built AI-automation products in the Safety

Vigilance domain.

Datafoundry has multiple AI/ML algorithms that can solve digitalization problems across industry

sectors such as Health Care, Utilities, Aerospace and Defence, Manufacturing, Banking and

Financial sectors.


Position Summary:

We are seeking BioTech Intern to contribute within the pharmacovigilance product development

team. You will leverage your deep understanding of safety data management, risk management

systems, and regulatory compliance to support the design, implementation, and enhancement of our

safety products. This role will involve collaborating with cross-functional teams and external

stakeholders, ensuring that safety products meet the evolving needs of the pharmacovigilance

domain.


Skills & Qualifications:

· Education: A degree in Life Sciences, Pharmacy, Pharmacovigilance, or a related field. A master’s

degree or equivalent experience is a plus.

· Experience: Fresher


Key Responsibilities:

1. Data Curation for Machine Learning Models:

• Assist in collecting, cleaning, and organizing biological and healthcare-related

datasets to support machine learning model training.

• Ensure data integrity and consistency by identifying and addressing any gaps,

outliers, or inconsistencies within the data.

• Collaborate with data scientists and machine learning engineers to prepare high quality datasets for training, validation, and testing of models.

• Work with bioinformatics tools and software for data processing and analysis.

• Contribute to the development of data pipelines and automating data workflows.


2. AI/ML Model Support and Evaluation:

• Support the testing and evaluation of machine learning models by providing

annotated datasets and insights into data trends.

• Help in the assessment and optimization of existing models for better prediction

and performance in healthcare applications.

• Monitor model outputs and assist in analysing performance metrics (e.g.,

accuracy, recall, precision) in the healthcare context.


3. Product Management and Development:

• Assist the product management team in defining product requirements, user

stories, and features for AI-based healthtech solutions.

• Help in the creation and refinement of roadmaps and timelines for product

development, ensuring data requirements are well understood and executed.

• Collaborate with cross-functional teams (e.g., engineering, design, research) to

implement product features and enhancements.

• Support user acceptance testing (UAT) and feedback loops from users to

improve product functionality.


4. Research and Innovation:

• Participate in research efforts for the application of AI in biotechnology and

healthcare, exploring new ways to utilize AI technologies for innovative solutions.

• Stay updated with the latest trends, papers, and developments in AI, ML, and

biotechnology to bring innovative ideas into the product development process.

• Collaborate with research teams to translate academic findings into practical

applications.


5. Documentation and Reporting:

• Maintain clear documentation of data curation processes, model training, and

product feature development.

• Assist in preparing reports, presentations, and other materials to communicate

findings, product updates, and research outcomes to stakeholders.

• Contribute to the writing of technical documentation and product specifications.


6. Cross-disciplinary Collaboration:

• Work closely with bioinformaticians, engineers, healthcare experts, and product

managers to ensure seamless integration of AI technologies into healthtech

products.

• Engage in regular meetings with stakeholders to gather feedback, assess

progress, and ensure that objectives are met.


7. Learning and Professional Development:

• Continuously develop knowledge and expertise in AI/ML technologies, biotech

applications, and product management practices.

• Participate in training sessions, workshops, and seminars related to

biotechnology, AI, and healthtech.

• Explore mentorship opportunities within the organization to understand career

pathways in AI healthtech.


Join our team at Datafoundry to be part of an exciting journey as we revolutionize the way

organizations leverage data to gain a competitive advantage. We offer an attractive compensation

and bonus package, a flexible remote work environment, and ample opportunities for professional

growth

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