Join our team
WHY PIATRIKA?
A career at Piatrika isn’t just a job, it’s a challenge you took to change millions of farmers life by solving their grassroots problems.
A career at Piatrika isn’t just a job, it’s a challenge you took to change millions of farmers life by solving their grassroots problems.
OUR MISSION
We provide outstanding high value & high-quality solutions by combining Scientific Research that would improve our customers’ operations.
We provide outstanding high value & high-quality solutions by combining Scientific Research that would improve our customers’ operations.
Open Positions
Full Stack Developer
We are looking for passionate fullstack developers with Python Django + angular experience who are interested in building things ground-up. There is ample room to innovate by questioning conventional wisdom and creating world-class software, and working closely with management to expand cross-functional skills. The role will join a small team working on development of their core technology and related services, contribute to the architecture of their site and create a scalable framework for future growth. You will be given a high degree of autonomy in a flexible environment, with real scope to progress quickly.
RESPONSIBILITY
EXPERIENCE
OFFER
We will offer competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that. Start-up culture, share options and rapid career development!
QUALIFICATIONS
Typically, a degree in a computer science, mathematical or science-based subject to work as a data scientist can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.
Read more - Contribute to site architecture
- Create a global, scalable framework
- Build back-end services and APIs
- Help with cloud deployments
- Take a lead role in developing future features (design, implement, test and deploy)
EXPERIENCE
- A number of years’ commercial Python development
- Django experience
- Angular experience
OFFER
We will offer competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that. Start-up culture, share options and rapid career development!
QUALIFICATIONS
Typically, a degree in a computer science, mathematical or science-based subject to work as a data scientist can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.
Bioinformatics
We are looking for passionate bioinformatics software engineers interested in building things ground-up. Ideally looking for someone to become an integral part of our system who has a prior experience or good understanding of bioinformatics. We are also open to considering talented software engineers who have very quick learning ability and interest in bioinformatics.
RESPONSIBILITY
As a bioinformatics engineer, you will be exposed to :
SKILLS
We value ideas and encourage progressive mindset and out of the box thinking. Most important skill we expect is excellent analytical and problem-solving ability. Additionally, we expect candidates to have :
OFFER
We will offer competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that.
QUALIFICATIONS
Typically, a PhD or MSc degree in a bioinformatics, mathematical or science-based subjects can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.
Read more As a bioinformatics engineer, you will be exposed to :
- Work closely with your business to identify issues and use data to propose solutions for effective decision making.
- Write production grade software for various aspects of RNA, WGS, Exome analysis and variant effect predictions.
- Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Horizon scan to stay up to date with the latest technology, techniques and methods
- Conduct research from which you’ll develop prototypes and proof of concepts
SKILLS
We value ideas and encourage progressive mindset and out of the box thinking. Most important skill we expect is excellent analytical and problem-solving ability. Additionally, we expect candidates to have :
- Experience programming with Python
- Good understanding of various bioinformatics resources, tools and basics analysis flows for NGS analysis.
- Have a good understanding of applying software engineering and bioinformatics techniques to polyploidy data.
- Fair understanding of genomics concepts
- Productionising software
- Nice to have but not mandatory
- Recruit, train and lead a team of software engineers or bioinformatics
- Establish new systems and processes and look for opportunities to improve the flow of data
- Evaluate new and emerging technologies
- Represent the company at external events and conferences
- Build and develop relationships with clients
OFFER
We will offer competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that.
QUALIFICATIONS
Typically, a PhD or MSc degree in a bioinformatics, mathematical or science-based subjects can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.
Data Scientist
We are looking for passionate data scientists interested in building things ground-up. There is ample room to innovate by questioning conventional wisdom and creating world-class software, and working closely with management to expand cross-functional skills.
RESPONSIBILITY
As a data scientist, you will be exposed to :
SKILLS
We appreciate passionate and motivated people that have zeal to reach for the sky. We value ideas and encourage progressive mindset and out of the box thinking.
Most important skill we expect is excellent analytical and problem-solving ability. Additionally, we expect candidates to have:
Experience programming with Python
Good understanding of machine learning, different algorithms and their purpose.
Experience with some of the tools like SciKit, Tensorflow, Keras, SKLearn etc.
Feature scaling and optimisation
Productionising data science products
NICE TO HAVE
OFFER
competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that.
QUALIFICATIONS
Typically, a degree in a computer science, mathematical or science-based subject to work as a data scientist can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.
Read more As a data scientist, you will be exposed to :
- Work closely with your business to identify issues and use data to propose solutions for effective decision making.
- Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
- Use machine learning tools and statistical techniques to produce solutions to problems
- Test data mining models to select the most appropriate ones for use on a project
- Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Horizon scan to stay up to date with the latest technology, techniques and methods
- Conduct research from which you’ll develop prototypes and proof of concepts
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work
SKILLS
NICE TO HAVE
- Recruit, train and lead a team of data scientists
- Have responsibility for the organisation’s data science strategy
- Establish new systems and processes and look for opportunities to improve the flow of data
- Evaluate new and emerging technologies
- Represent the company at external events and conferences
- Build and develop relationships with clients.
- Experience of AWS based data science facilities like Sagemaker, Athena, Glue etc will be a plus point.
OFFER
competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that.
QUALIFICATIONS
Typically, a degree in a computer science, mathematical or science-based subject to work as a data scientist can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.