לוח משרות דרושים מדעי החיים, טבע וחקלאות במרכז

Required Senior Computational Biologist
About the role:
You will play a pivotal role in our deep analytics group that is instrumental in building and refining our core single-cell representation models. These models are designed to synthesize extensive molecular data and metadata, linking therapies, indications, data modalities, and biological systems to drug trial outcomes. You will work with and mentor a multidisciplinary team of machine learning engineers, computational biologists, and immunologists whose purpose will be to build a machinery that helps with the biological interpretation of our models to produce robust biological insights.
Location: Tel Aviv, Israel
What will you do?
Research, develop, and deploy state-of-the-art capabilities to interpret our representation models based on single-cell data from immunological datasets
Develop and own scalable production of the interpretation pipeline
Bring in latest advancements in single-cell omics and machine learning to create innovative products
Collaborate with stakeholders across software engineering, computational biology, and immunology to maximize the impact of your products
Mentor and provide technical guidance to team members.

We are a global bioagriculture company, leverages the natural power of
mycorrhizal fungi to improve the productivity, sustainability and profitability of commercial
agriculture and expand regenerative agriculture practices. 
We are the first to use innovative techniques to solve challenges inherent in high-volume mycorrhizal inoculant
production. We will not rest until every hectare of arable land is protected by mycorrhizae and every farmer benefits from higher crop yields while preserving our soils and permanently
sequestering carbon.
We are looking for a researcher with vast knowledge in soil microorganisms to play a key
role in our carbon sequestration project.
You Will Have an Opportunity to:
      Join an innovative company that is disrupting the bioagriculture market.
      Be a part of our leading R&D team. Directly contribute to the companys main growth engine.
Job Description:
      Strong literature research.
      Writing reviews, white papers, summaries and presentations.
       Plan and execute experiments according to the companys goals, timelines and work plans.
      Analysis, presentation, and implementation of findings and results.
      Develop and maintain protocols and operational processes.
      Study various soil microorganisms.
      Perform various soil tests.

We are seeking a passionate and highly motivated Senior Product Analyst to join our team.
In this role, you will play a vital part in developing and executing our data strategy, setting growth and product KPIs, creating data infrastructure, integrating data into everyday processes, and generating insights and recommendations for product and development squads.
As a key member of our team, you will work closely with product, data, and development teams to deliver top-notch data and analytics to empower key stakeholders. This data-driven approach will fuel efficient product processes and drive the company's success.
The ideal candidate will have a strong understanding of data analysis and interpretation, as well as experience with developing and executing data strategies. You will also be a highly motivated and organized individual with excellent communication and teamwork skills.
If you are passionate about data and analytics and are looking for a challenging and rewarding role, we encourage you to apply.

We are seeking a highly motivated and talented individual to join our scientific team as a Epidemiologist Researcher.
This multifaceted role combines the expertise of an epidemiologist with the communication skills of a medical writer.
You will play a crucial role in translating scientific data into peer-reviewed papers and accessible insights in metabolic health.
Responsibilities:
Write research protocols related to metabolic health.
To be the connecting factor between us and researchers or universities with which we collaborate.
Contact researchers and universities to create new collaborations.
Produce studies that support the Value proposition.
Execute robust analytical strategies using our unique datasets.
Conduct epidemiological studies, including data collection, data cleansing, analysis, and interpretation.
Utilize statistical software and methodologies to analyze complex datasets
Generate reports and identify key findings and insights from research data.
Translate complex findings into clear, concise, and engaging content for diverse audiences.
Develop materials for various formats, including layman articles, scientific publications, and educational materials.
Collaborate with researchers, editors, and other stakeholders to ensure content quality and effectiveness.