Joseph Halstead

Data Scientist

https://talent.gravityer.com/joseph-halstead

Lead Bioinformatician at Cardiff and Vale UHB.

United Kingdom

Key Strengths

Strong project experience in bioinformatics and genomics, directly relevant to a Data Scientist role, especially in biological domains.
Proficiency in Python, R, and Shell scripting, essential for data manipulation, analysis, and pipeline development.
Extensive use of Jupyter Notebooks for data exploration and analysis, indicating good practices in reproducible research.
Experience with diverse data types (RNA-Seq, genomic variants, literature-based data) and analytical tasks (variant calling, clustering, retrovirus detection, phage discovery).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong interest in scientific research and data-driven problem-solving, particularly in genomics and bioinformatics. The breadth of personal projects suggests a proactive and self-driven individual. The alignment with a Data Scientist role is strong given the analytical nature of the projects. However, without information on team-based projects or professional experience, assessing collaboration and broader cultural fit is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.

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Projects

Genomics-Product-Roadmap

July 17, 2025 – July 17, 2025

Genomics-Product-Roadmap — GitHub repository

View Project

mane_flat

December 4, 2022 – December 4, 2022

Parse a GFF of MANE transcripts into a flat file

View Project

bad_code

September 23, 2021 – May 14, 2025

A repository of bad code for code review teaching

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relatedness

July 7, 2021 – September 10, 2021

A function that checks relatedness using the pedigree and relatedness files

View Project

UPDOG

May 23, 2020 – February 25, 2025

Uni Parental Disomy triO investiGator (UPDOG)

View Project

variant_classification_DB

November 15, 2018 – September 17, 2024

A database for storing the classification of variants.

View Project

RetroSpotter

April 16, 2018 – July 1, 2018

A computational pipeline to find Human Endogenous Retroviruses in RNA Seq Data

View Project

Salphagome

April 11, 2018 – May 6, 2021

Novel Discovery of Phages from Salmonella Sequences

View Project

RNAseq_variants

March 11, 2018 – March 11, 2018

Streamlined pipeline to call variants from SC and Bulk RNAseq

View Project

ClusterDuck

January 18, 2018 – November 22, 2022

Disease Clustering from Literature Based on Minimal Training Data

View Project

Key Strengths

Strong project experience in bioinformatics and genomics, directly relevant to a Data Scientist role, especially in biological domains.
Proficiency in Python, R, and Shell scripting, essential for data manipulation, analysis, and pipeline development.
Extensive use of Jupyter Notebooks for data exploration and analysis, indicating good practices in reproducible research.
Experience with diverse data types (RNA-Seq, genomic variants, literature-based data) and analytical tasks (variant calling, clustering, retrovirus detection, phage discovery).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Joseph Halstead

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit