Offer summary

Qualifications:

Minimum 5 years of experience in AI and genetics, Strong track record in genetic research, Hands-on experience with machine learning algorithms, Experience in developing computational pipelines.

Key responsabilities:

Develop AI algorithms for genetic data analysis

Collaborate with scientists to address research questions

Design computational pipelines for large-scale datasets

Implement data preprocessing and quality control procedures

Develop predictive models for genetic risk prediction

Mentor junior team members

PARALUCENT is a global technology and marketing agency that lives at the intersection of technology and creativity, helping organizations grow in an age of digital and brand transformation. Our customer-centric processes are aimed at delivering smarter work that changes behaviours and unlocks growth. WE ARE Strategists, architects, designers, project managers, developers, and QA with rich technology experience and mastery of leading methodologies. WE CREATE Highly effective solutions that live up to our promises and exceed expectations. We deliver technological and creative solutions with great attention to quality, cost and functionality. We also create campaigns, commercials, branding, graphic design, video, and do copywriting, PR and communications, and more! WE BELIEVE Great things in the world come through committed partnerships that are built on trust and integrity and that have clear two-way communication. We believe in an inclusive environment that challenges traditional ways of working. We believe in curiosity, passion and collaboration so that everyone wins. WE ARE ALSO Marketers, designers, animators, writers, video producers, and media experts who bring depth of experience, curiosity and clarity to everything we do.

Job description

We are seeking an experienced GenAI Developer with a minimum of 5 years of hands-on experience in the intersection of AI and genetics to join our clients innovative team. If you are passionate about leveraging AI to advance genetic research and have a strong track record of doing so, we want to hear from you.

Key Responsibilities:

Develop and implement advanced AI and machine learning algorithms for genetic data analysis and interpretation.
Collaborate with geneticists, biologists, and data scientists to define and address research questions and hypotheses.
Design and develop computational pipelines for processing and analyzing large-scale genetic datasets.
Implement data preprocessing, feature engineering, and quality control procedures.
Develop predictive models and algorithms for genotype-phenotype associations and genetic risk prediction.
Optimize AI models for performance and scalability to handle vast genetic datasets.
Conduct statistical analyses to interpret genetic variation and disease associations.
Collaborate on the development of software tools and applications that support genetic research and diagnostics.
Stay current with the latest advancements in AI, machine learning, and genetic research.
Mentor junior team members and share knowledge within the research team.

Required profile