Job Description
Job DescriptionAbout PSC BiotechPSC Biotech is a leading Biotech Consultancy firm founded in 1996, headquartered in Pomona, California, USA, with global operations in Ireland, India, Singapore, Australia, and the US, serving 350 clients in more than 23 countries worldwide. We provide cloud-based software solutions for Quality Management and Regulatory Inspections, pharmaceuticals contract manufacturing professionals, and metrology services to our clients.‘Take your Career to a new Level’PSC Biotech disrupts the conventional consultancy model by aligning our EVP as one of the unique selling points which includes the opportunity to work with the most talented cohort of like-minded professionals operating in the Pharma/Biotech Industry. We offer a permanent contract of employment giving exposure of working in top pharmaceutical client sites in a diverse cultural work setting.Employee Value PropositionEmployees are the “heartbeat” of PSC Biotech; we provide unparalleled empowering career development through Learning & Development in-house training mentorship through constant guidance to facilitate career progression. We believe in creating high-performing teams that can exceed our client’s expectations with regards to the quality of all scalable and business unit deliverables, staying under budget and ensuring timelines for our deliverables are being met.Overview:Client is seeking a highly skilled and motivated Data Scientist to join our team. The successful candidate will play a crucial role in developing and delivering data science products, with a focus on delivering data-driven solutions to the ruminant livestock industry.The ideal candidate would have a strong background in mathematics, statistics, and linear algebra, as well as domain expertise in ruminant agriculture. Proficiency in Python or R is a must-have, and familiarity with SQL is beneficial.Specifically, this role would benefit from experience with multi-level statistical methods such as BLUE and REML as well as experience in adapting genomics data for advanced analytics.Knowledge of agile methodologies is desirable, but not mandatory. Experience with cloud solutions such as Databricks, Dataiku, AWS, Snowflake is considered an advantage.We realize it is difficult to cover all the below requirements, so we encourage you to apply even if you feel like you are a partial match.RequirementsRole Functions:Data analysis and modelling: Apply advanced statistical and machine learning techniques to analyze time series and genomic data to uncover meaningful insights that drive decision-making and innovative product development in the dairy and beef industry.Collaborative Product Development: Work closely with product managers, data scientists, software engineers, data managers, and domain experts to develop data science products, utilizing your expertise in mathematics and statistics to optimize product performance and value.Experience, Knowledge & Skills:A minimum of 2-5 years of experience in data science. Experience with delivering data-driven value in the ruminant livestock industry is a plus. Familiarity with quantitative genetics would be desirable.Technical skills:Proficiency in programming languages such as Python or R for data analysis, modelling, and algorithm development.Strong knowledge of statistical analysis, machine learning techniques, and linear algebra.Familiarity with bioinformatics tools for handling DNA sequence data (e.g., BLAST, Plink, GATK etc.).Experience with multi-level methods such as BLUE and REML.Domain knowledge: Familiarity with livestock agriculture or aquaculture is a plus. Understanding of animal health and genetics in these domains would be an advantage.Passion for animal health and welfare and a genuine interest in leveraging data to make a positive impact in these industries.Nice to Have:Familiarity with animal health and welfare in livestock, fisheries industries, aquaculture, companion animal.Familiarity with agile methodologies and experience working in fast-paced, collaborative environments.Knowledge of cloud solutions (e.g., Databricks, Dataiku, AWS, Snowflake) and experience with scalable data processing, storage, and deployment.Qualification:A minimum of an MSc in a relevant field such as data science, mathematics, statistics, genomics, or a related discipline.This is a hybrid role - 1 day onsite, 4 days remote per week; based in Ireland but will include occasional travel in EU / Israel and US. #J-18808-Ljbffr