Data Scientist
Data Scientist
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Job Description
About PSC Biotech
Who are we
PSC 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 cloudbased 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 point which includes the opportunity to work with the most talented cohort of likeminded 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 diversecultural work setting.
Employee Value Proposition
Employees are the heartbeat of PSC Biotech we provide unparalleled empowering career development though Learning & Development inhouse 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 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 musthave and familiarity with SQL is beneficial.
- Specifically this role would benefit from experience with multilevel 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 realise 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.
Requirements
Role Functions:
- Data analysis and modelling: Apply advanced statistical and machine learning techniques to analyse 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 development of data science products utilizing your expertise in mathematics and statistics to optimize product performance and value.
Experience Knowledge & Skills:
Minimum Requirements:
- A minimum of 25 years of experience in data science. Experience with delivering data driven value in the ruminant livestock industry 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 multilevel 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 fastpaced 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 a 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.
A minimum of 2-5 years of experience in data science Data analysis and modelling: Apply advanced statistical and machine learning techniques to analyse 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 development of data science product
Education
A minimum of 2-5 years of experience in data science Data analysis and modelling: Apply advanced statistical and machine learning techniques to analyse 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 development of data science product
Employment Type
Full Time
