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Solution Manager - Scientific Data Management

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Job Location drjobs

Time - Norway

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Were seeking an experienced motivated enthusiastic and curious person with a solid understanding of biological data management multimodal data integration and bioinformatics to grow our services business with a core focus on developing and expanding our Biological Science Solutions and Services portfolio.

The ideal candidate will be a skilled selfmotivated individual that can propose design implement and support solutions for complex biological data challenges in the Biopharma Food and Beverage and Crop Science Industries. You will remain close to the science with a background in molecular biology also having a solid understanding of the data systems and technologies required to create successful business outcomes for our customers.

The successful candidate will define and contribute to advanced solutions and services across the Biopharma Crop Science and FMCG industries. This role with work closely with the Leadership team to develop strategy across the global team for Biology Data Management Solutions and Services. You will lead projects with customers and Zifos global multidisciplinary team of biologists geneticists statisticians data engineers and data scientists to support cuttingedge drug discovery and development and contribute to a bestinclass bioinformatics solution portfolio. You will also lead and build a team providing expertlevel advice to customers and internal teams through consulting and education.

About You:

  • We think that a person that comes with a Product Management Solutions Consulting Professional Services or Technical PreSales background with relevant domain experience and academic knowledge will be most suited to this role. Please keep in mind that the following description reflects the profile we believe would best fit the role.
  • Passionate Problem Solver: You are curious with a genuine interest in solving technical problems and courage to tackle diverse and complex data challenges. Your logical problemsolving skills contribute to innovative solutions.
  • Team Builder and Business Enthusiast: You are genuinely interested in building and leading a team. Your commitment extends to fostering collaboration both within and outside the team and growth of a new business.
  • Continuous Learner and Technical Expert: You are eager to learn adapt and share your expertise as a leader while being committed to staying current with fundamental theory principles and advancements in science technology.
  • Effective Communicator and Collaborator: Strong communicator coupled with creativity and flexibility enable you to thrive in a collaborative multidisciplinary environment with productive relationships.
  • CustomerCentric and Approachable: You prioritize customer satisfaction and your commitment to managing priorities and encouraging interaction fosters a positive and supportive working environment.
  • Scientific Relationship Builder: You actively work to strengthen our relationships with scientists enabling their research. Providing bioinformatics expertise you contribute to the growth and development of those around you.
  • Adaptable and Proactive Team Player: You have a selfmotivated growth mindset can lead in a flexible environment with change and ambiguity maintain a positive attitude and seek opportunities for personal and team development.
  • Confident Liaison and Travel Enthusiast: Confidently liaising at all levels both internally and externally you are willing to travel visit customers and speak at conferences to stay connected with industry contacts and customers.

What you will be doing

If you are confident that you can ramp up quickly in some of the areas we would like to get to know you and look forward to receiving your application!

Commercial

Commercial Strategy Development: Building and expanding the business developing digital solutions for multimodal data management digital transformation and bioinformatics using through your network of industry contacts customer insights market assessments partnering and marketing. Developing Strategy Value Propositions Customer Solutions and a Services Portfolio that generates leads and wins opportunities. Participate in conferences proposals and retrospectives to successfully secure projects to grow the local and remote practice.

Global Growth Collaboration: Forecast and monitor demand capacity people intime recruitment competency and skills development. Create opportunities to pull work forward accelerate existing work allocate the team facilitate global working and nurture our values.

Solution Development: Oversee the Proposal design implementation and development of Customer Solutions for Digital Transformation Multimodal Data Management and Bioinformatics.

Point of Contact: Act as the primary contact for the Practice Area and Team.

People

Team Leadership and Management: Servant Leader that can mentor and motivate Bioinformatics consultants and proactively develop talent capability and competency. Partners with other regions ensuring coordination and cohesion with international colleagues. Ensure equitable workload distribution.

Recruitment: Identify and communicate hiring and internal transfer needs aligned with the current pipeline geography skills distribution and growth objectives. Participate in the hiring process ensuring the seamless onboarding and early contribution for new team members.

Science

Industry / Domain Expertise: Experience in implementing data architecture data modelling and data lifecycle management across the drug discovery and development domains covering multiple modalities including biologics antibodies proteins peptides cell therapies gene therapies nucleotides vaccines and omics data. Experience in sequencing and structural analysis techniques (NGS RNA DNA Exome proteins antibodies singlecell). Epigenetic and multiomics data integration and analysis. Highthroughput data processing and analysis.

Technical

Modelling: Good understanding of how to design and deploy enterprise data architectures for multimodal data (e.g. small molecule biologics antibodies proteins peptides cell therapies gene therapies nucleotides vaccines and omics) in large Biopharma. Knowledge of industry standards best practices and technology e.g. FAIR Data Mesh Architectures Classical and Graph Data Modelling Data Integrity ETL UML OWL RDF Knowledge Graphs Triple Stores Taxonomy Ontology. Experience with Data Mesh Relational Databases data lakes warehouses big data platforms and object storage e.g. Snowflake Denodo Databricks and Talend.

Data Analysis Workflow: Expertise in NGS data analysis (genome assembly annotation variant calling etc.) with knowledge of pipeline development workflow orchestration data management analysis visualisation and processing sequencing data at scale.

Programming: Python R bash Docker Singularity Jupyter. Largescale biological dataset analyses with experience in statistical analysis interpretation machine learning packages UNIX.

Delivery

Allocation: Maintain control over team and project allocation to minimize nonbillable and bench time by ensuring optimal use of skills and people. Proactively plan manage and communicate utilization and realisation. Drive efficiency and scaled execution by moving work to the remote team when feasible.

Reporting: Ensure up to date and timely reporting on Opportunities allocation and Data that enables insights into the practice area. Use the designated systems ensuring ontime and accurate data representation. Ensuring ontime billing reporting monitoring and governance across the practice.

Qualifications:

  • Candidates without a higher degree are encouraged to apply if they possess a strong background in the practical application of Bioinformatics and Machine Learning within the biotech/pharma industry.
  • Hold a higherlevel degree or possess equivalent experience in Molecular Biology or bioinformaticsfocused disciplines such as Computational Biology Genetics Bioinformatics Cancer Biology or Applied Statistics/Mathematic

Please use the below link for job application and quicker response.

Remote Work :

No

Employment Type

Full Time

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