Senior science consultant job description

Founded in 2015 and rapidly expanding, Fresh Gravity (www.freshgravity.com) is an exciting business and technology consulting company that is at the cutting edge of digital transformation. We drive digital success for our clients by enabling them to adopt transformative technologies. We provide a range of services: from Data Management, Data Science & Analytics, to API Management/SOA and Artificial Intelligence.

In a short time, we have crafted an exceptional team who have delivered impactful projects for some of the largest corporations in the world. We are on a mission to solve the most complex business problems for our clients using the most exciting new technologies. And we are looking for top talent to join us in our quest.

Fresh Gravitys team members are authorities in their field, but know how to have fun, too. Were building an inspiring, open organization youll take pride in. We challenge ourselves to grow every day. We create value for our clients and partners every day. We promise rich opportunities for you to succeed, to shine, to exceed even your own expectations.
We are thoughtful. We are engaged. We are relentless. We are Fresh Gravity.
Fresh Gravity is an equal opportunity employer.


Requirements
Core Requirements:
Masters degree in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics, Artificial Intelligence. 3+ years of hands-on experience with statistical software tools: SAS, SPSS, Strata, R, Matlab, or Python statistical libraries. (We work primarily in Python and R). 3+ years of experience working in a business context (technology consulting, systems integration, management consulting, working as an analyst in industry, etc.) Comfort communicating and collaborating with client executives up to the C-suite. Strong project management skills, with examples of teams led and projects delivered successfully. Strong verbal presentation skills. Strong qualitative storytelling via structured slide decks. Strong data storytelling with good grasp of data visualization theory.


Techniques and Use Cases:
Required: Strong data visualization capabilities, and comfort telling a story about analytic results, with Tableau expertise (or equivalent) preferred. Required: Fundamental data processing and preparation expertise (e.g., via Access or SQL). Required: Experience implementing standard statistical techniques such as experimental design, regression, statistical inference and prediction. Preferred: Experience implementing standard machine learning models on real data (whether big or small data). For example: Standard data wrangling and preparation, including feature selection and engineering Unsupervised clustering to segment a customer base into meaningful groups Supervised classification to predict malignancy given training data on tumors Supervised regression to estimate the price of a house based on 30+ features Bonus: Kaggle competition results can be a differentiator.


ML Concepts:
Required: Fundamental understanding of core machine learning and deep learning concepts, and ability to explain them at multiple levels: in laymens terms using examples and minimal jargon at an intermediate level for clients with some statistical background Preferred: Understanding of advanced machine learning techniques such as anomaly detection, recommendation engines, collaborative filtering, natural language processing, computer vision, network analysis, etc. Ability to identify appropriate techniques if given a real-world use case. Bonus: Personal data science projects can be a differentiator


Responsibilities:
A typical project involves:
Structured interviews with clients about their business problems and analytic needs. Blue sky / art of the possible conversations on clients technology strategy. Given the clients real-world business problem, identify the appropriate analytic or ML use cases that would constitute a solution tailored to their business needs. Produce prototypes and proofs-of-concept, and lead teams of Data Scientists to do the same. Lead Data Science teams to deliver fully-fledged solutions that are scaled to production


Additional Responsibilities:
Lead teams of Data Scientists and serve as Project Manager for client engagements. Given unstructured and complex business problems, design and develop tailored analytic solutions. Design experiments, test hypotheses, and build actionable models. Research machine learning algorithms, develop solution formulations, and test on large datasets Draw relevant inferences and insights from data including identification of trends and anomalies. Effectively document and communicate methodologies and results. Produce high-quality storytelling including data visualizations, dashboards, and executive presentations. Produce C-level communications including live presentations, facilitated discussions, and slide materials.


Soft Skills:
Customer- and peer- relationship focused. Our success comes from happy clients AND happy project teams. Ability to thrive in a fast paced team environment. We aim for the best of both worlds: high-autonomy plus high-support. Artificial Intelligence is an emerging field we all learn from each other and each team member leads the way in some areas. Comfort with blue sky and art of the possible thinking. We hire candidates both for what they know and for what they can imagine. We frequently work on emerging opportunities that dont have a single best practice solution. If you come up with a great idea, be prepared for the green light to run with it! Ability to learn new skills/technologies quickly and independently. Because AI is an emerging area, we set aside time to stay up-to-date and share knowledge with each other. Comfort with executive-level client communication. Its an exciting time in the lifecycle of companies adopting AI. Sponsorship and support for data science initiatives goes all the way up the chain, and we are often tasked with explaining complex math at varying levels of detail for clients with different statistical backgrounds and levels of seniority.


Benefits
In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations. In keeping with Fresh Gravitys challenger ethos, we have developed the 5 Dimensions (5D) benefits program. This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions. Enrich Myself; Enhance My Client; Build my Company, Nurture My Family; and Better Humanity.

Job DescriptionSalary:

Excellis Health Solutions, LLC, an NNIT Group Company, is a global strategic management consulting services firm, based in New Hope, PA, England, Belgium and Denmark. An industry leader in supply chain, with a focus in Pharmaceuticals and Life Sciences and a specific niche in serialization, we offer a multitude of solutions using our comprehensive knowledge and proven turnkey solutions to clients. Excellis continues to expand its markets and services to meet the ever-changing industry needs. With 70+ employees and historical growth of 25% plus year over year, Excellis anticipates continued growth in the United States and in Europe.

Job summary

This position is a profession position for a consultant who as an SME will be responsible for providing expert guidance to clients in the areas of warehousing and distribution operations.

Areas of expected warehouse knowledge and experience include warehouse designs, operations, operating IT systems, regulatory/licensing requirements, and resourcing/training considerations.

Areas of expected distribution knowledge and experience include distribution operations, operating IT systems, regulatory/licensing requirements, and resourcing/training considerations.

A working knowledge of current FDA/DSCSA regulations is also required to support the numerous pharmaceutical clients that we are currently engaged with.

An understanding of appropriate warehousing and distribution licensing and certification requirements.

Role and Responsibilities

• Reviewing client warehousing and distribution operations for compliance with FDA/DSCSA regulations
• Developing warehousing and distribution strategies for each assigned client
• Assisting the development of URS documents for any warehouse or distribution software solutions
• Maintaining a comprehensive understanding of the associated regulations and licensing requirements
• Working with a project team to develop any required project documentation to support client deliverables
• Providing expertise in developing required SOPs to support current and future operations

· Assuring that identified resources are properly trained and supported during the implementation of any procedural or system changes

Qualifications and Education Requirements

• Prior warehouse and/or distribution experience, preferably in a pharmaceutical environment as well as consulting experience.
  
• Ability to read, understand and interpret regulations and licensing requirements as they pertain to warehousing and distribution operations
• Experience with GS1 standards up to and including GS1 certification
• Self-starter with the ability to work independently on a project-by-project basis
• Previous project management experience would be a plus

· BS degree

· 10+ years’ experience

Additional Notes

Full benefits package offered including 401k, paid annual leave and Holidays, Medical, Dental and Life Insurance.

Must be eligible to work in the US

Today, technology is moving faster; the rate of change is accelerating and is altering the logic by which businesses need to operate. We're looking for an experienced Technology Consultant who can help clients adapt to the challenges and opportunities presented by the current technology trends. From business process re-engineering to agile systems design to large-scale deployments, we need a master planner who can advise clients, understand critical business challenges, and develop solutions that streamline operations and improve value-driven strategic decision-making.
Work You'll Do

You'll work with a broad spectrum of life sciences and health care clients to propose, plan and deliver transformative technology projects. You will utilize your business-to-technology skills and communication skills to support our clients in achieving their strategic goals, by delivering on our key offerings, including strategic technology roadmap development, business process definition, enterprise architecture, program management, system implementation, testing and solution integration. As a trusted client advisor and team lead, you will also drive innovation by bringing your perspective on new and disruptive technologies (like IoT, Cloud, Analytics), which can transform our clients' business and yield significant competitive advantages.

Deloitte is specifically seeking candidates for its Life Sciences Technology consulting practice. As part of this practice, you will serve Deloitte's life science and healthcare clients by providing strategic advice on how technology can support their business strategy and operational goals. Some example projects include:

+ Advising key R&D leadership on the appropriate business process, operating model and technology goals for R&D organizations to best support their overall strategy

+ Advising R&D organizations how to rationalize and harmonize their business processes and supporting technology

+ Assessing how and which technology solutions will best support the latest in scientific and business analytics

+ Supporting global implementation of business processes, operating model and technology solutions across all the countries that a company operates in

You will work side-by-side with R&D leadership within life science and healthcare companies to transform their organizations and help them achieve their scientific and business goals.

The Team

Our Deloitte Consulting team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

+ A technical background via an undergraduate degree or work experience

+ Advanced degree (MA, MS, MD, VMD, etc.) completed by Spring / Summer 2023 in these related areas of study:

+ Biotechnology

+ Biomedical Science

+ Biomedical Engineering

+ A Bachelor's in the following or related area(s):

+ Computer Science

+ Computer Information System

+ Management Information Systems

+ Data Analytics

+ Math

+ Accounting

+ Business

+ Finance

+ Marketing

+ Operations

+ Statistics

+ Supply Chain

+ Computer Engineering

+ Electrical Engineering

+ Mechanical Engineering

+ Engineering Management

+ Industrial Engineering

+ Strong academic track record (minimum GPA of 3.4)

+ Two to four years' experience, with two to three years' experience in roles that have used technology as a business enabler within the life sciences space

+ Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

+ Ability to travel up to 25%

How You'll Grow

Two of the most important tools in today's business world are experience and resources . At Deloitte, you'll find plenty of both. We believe in equipping our people with some of the best resources available and offering the experience, education, and opportunities you'll need at various stages of your career to be technologically fluent. In addition to your engagement-based learning, as a new Consultant, you will attend a series of onboarding programs to develop foundational knowledge, build essential core consulting skills, learn profile-aligned skills, and cultivate an in-depth understanding of Deloitte Consulting's methodologies. Beyond the formal training, you will be part of the national Consultant community, which fosters opportunities to add additional dimensions to your experiences through internal initiatives, programs, and events such as skills-based service trips, local office learning events, and internal innovation challenges. You will also have access to and engage with senior leaders at Deloitte and will receive strong mentorship throughout your career. Your work, clients, and colleagues will challenge you intellectually, enabling you to build both your experience and an exceptional professional network. Explore Deloitte University, The Leadership Center .

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.