Data Scientist

About the Company

Through the work that we do, the team at Deciphex helps pharma to accelerate the process of essential drug development and helps patients to get timely and accurate diagnosis.

Founded in Dublin in 2017, Deciphex has scaled rapidly to a team of over 180 people and counting who are providing software solutions to address the pathology gap in research pathology and clinical areas. We have offices in Dublin, Exeter, Oxford, Toronto and Chicago and are expanding our team throughout the world.

We are software developers, clinical specialists, AI engineers, operations professionals and so much more, all working as one team to support our customers and patients. Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can enjoy doing it.

We are looking for highly motivated individuals who are excited to take on challenges and value making a difference in their day-to-day work. This is a unique opportunity to make a difference in the emerging Digital Pathology field.

Read more about Deciphex here and more about our incredible team on our Careers Page here

We're looking for an experienced Data Scientist to join our growing team within the Artificial Intelligence Team.

About this Role:

As a Data Scientist at Deciphex you will work in a fast paced environment with a collaborative team developing and validating cutting edge algorithms, and will work closely with the manager and team members to procure, transfer, prepare, maintain, collate, analyze, and manipulate various large datasets.

You will work on management and orchestration of data collection and offer recommendations to the AI team on evaluating these datasets. As a Data Scientist you will work with the research team and AI team members to identify and prioritize actionable, high-impact insights across different datasets. You will personally interact with data repositories to pull continuous statistical insights from the data, and work directly with AI Engineers to optimize classifier development workflow. Also develop validation routines and workflow components for machine learning models. You will develop processes and workflows that allow a model to be validated quickly and robustly based on statistically validated qualification routines. You will be required to systematically report on the progress routinely and will need to be able to adapt quickly to changing requirements. Applicants must have a strong background in analyzing big datasets as well as a good understanding of machine learning models and evaluation techniques, knowledge in basic statistics and hands-on experience with programming languages.

Responsibilities:

● Design data modeling processes to create algorithms and predictive models and perform custom analysis

● Monitoring, maintaining, annotating, and analyzing large datasets

● Data collection and statistical analysis

● Work with large image and other data sets to standardise the data profiles and to created statistically meaningful validation set to guide research and development of machine learning algorithms

● Work with AI engineers to optimize model architectures, classifier development and validation workflows

● Optimisation and standardisation validation and data processing pipeline elements

● Work closely with software development as well as sales teams and support them if input is needed

● Collaborate and work with other team members in support of organisational goals

● Support R&D teams as required

About You (Skills and Experience):

• Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science), proven experience in statistical programming
• At least 2 years experience in a similar role
• Proven ability to analyse and understand complex data for the creation of business value
• To be focused with a sense of urgency and immediate impact
• To be coachable and have a passion for research and delivering results under tough conditions
• Able to work independently and as part of a team with business impact and product needs in mind
• Possess sound communication skills to address issues quickly & comprehensively with internal & external parties
• Must be self-motivated with a willingness to learn and take ownership
• Must be effective at time management and personal organization / planning
• Confidence in using at least one of Statistical Computing Languages (e.g. C, Java, Python, SQL).
• Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• Ability to perform descriptive and inferential statistics, including regression analyses, and sample size calculations
• Ability to understand machine learning models and being able to qualify model performance
• Understand latest trends in machine learning and validation approaches
• Comfortable with reading scientific publications
• Experience using visualization techniques in Tableau, Power BI, Excel, or with a programming language (e.g., R or Python).
• Ability to import/export data into or from various formats into standard statistical software
• Excellent interpersonal and communication (written and verbal) skills
• Ability to work both independently and with a team as well as the ability to manage up
• Experience with image processing techniques is desirable
• Understanding of the basic principles of pathology and digital pathology is a plus

What are the benefits of working with Deciphex?

• Competitive salary with performance based annual increments.
• Healthcare benefits
• Competitive annual leave
• A true sense of meaning in your work by contributing to better patient outcomes.
• The opportunity to work alongside a world-class high performing team in a hyper-growth startup environment.
• A chance to work on exciting,challenging and unique projects.
• Regular performance feedback and significant career growth opportunities.
• A highly collaborative and supportive multi cultural team.

Deciphex is an equal opportunities employer and we are committed to the principle of equality. All qualified applicants will be considered for employment without regard to age, race, religious beliefs, political views, gender identity, affectional or sexual orientation, national origin, family or marital status (including pregnancy), disability, membership of the traveling community or any other classification protected by applicable law.